Estudio de las formas de aplicación de la fotografía sobre los materiales pétreos para la arquitectura = Study of photography application methods over architectural stony materials

Desde que el Hombre era morador de las cavernas ha sido manifiesto su deseo innato por grabar y reproducir "instantáneas con las que perpetuarse o sobre las que mirarse ". La aparición y desarrollo de la fotografía como medio para poder captar y fijar "la imagen directa de la realidad circundante " pronto se convierte en un nuevo lenguaje estético y poético que permite al artista la interpretación y reflexión de lo observado. Se imprime a la imagen el carácter de la mirada del fotógrafo, estableciendo un diálogo conceptual con el juego de luces. La presente Tesis plantea la creación de una nueva piel de arquitectura mediante la impresión fotográfica sobre materiales pétreos. La búsqueda de la expresividad de los materiales como soporte de expresión artística implica un cambio de escala al trasladar la instantánea fotográfica a la arquitectura y la aplicación de un nuevo soporte al imprimir la fotografía sobre materiales arquitectónicos. Se justifica la elección del dispositivo láser CO2 como sistema de impresión fotográfica sobre los materiales pétreos arquitectónicos, como la técnica que permite la unión física de la imagen y el proyecto arquitectónico, generando un valor añadido a través del arte de la fotografía. Se justifica la elección de los materiales investigados, Silestone® Blanco Zeus y GRC® con TX Active® Aria, de forma que la investigación de esta nueva piel de arquitectura abarca tanto la envolvente del edificio como su volumen interior, permitiendo cerrar el círculo arquitectónico "in&out" y dota al proyecto arquitectónico de un valor añadido al introducir conceptos sostenibles de carácter estético y medioambiental. Se realiza una consulta a las empresas del sector arquitectónico relacionadas directamente con la producción y distribución de los materiales Silestone® y GRC®, así como a las empresas especializadas en sistemas de impresión fotográfica sobre materiales, acerca del estado del arte. Se recorre la Historia de la fotografía desde sus orígenes hasta el desarrollo de la era digital y se analiza su condición artística. Se recopilan los sistemas de impresión fotográfica que han evolucionado en paralelo con los dispositivos de captura de la instantánea fotográfica y se describe en profundidad el sistema de impresión fotográfica mediante dispositivo láser CO2. Se describen los procesos de fabricación, las características técnicas, cualidades y aplicaciones de los materiales pétreos arquitectónicos Silestone® Blanco Zeus y GRC® con TX Active® Aria. Se explica la técnica utilizada para la captación de la imagen fotográfica, su justificación artística y su proceso de impresión mediante dispositivo láser CO2 bajo diferentes parámetros sobre muestras de los materiales arquitectónicos investigados. Se comprueba la viabilidad de desarrollo de la nueva piel de arquitectura sobre Silestone® Blanco Zeus y GRC® con TX Active® Aria sometiendo a las piezas impresas bajo diferentes parámetros a tres ensayos de laboratorio. En cada uno de ellos se concreta el objetivo y procedimiento del ensayo, la enumeración de las muestras ensayadas y los parámetros bajo los que han sido impresas, el análisis de los resultados del ensayo y las conclusiones del ensayo. Ensayo de amplitud térmica. Se determina el grado de afectación de las imágenes impresas bajo la acción de contrastes térmicos. Series de muestras de Silestone® Blanco Zeus y GRC® con TX Active® Aria impresas con láser CO2 se someten a ciclos de contraste frío-calor de 12 horas de duración para una amplitud térmica total de 102°C. Se realiza una toma sistemática de fotografías microscópicas con lupa de aumento de cada pieza antes y después de los ciclos frío-calor y la observación de las transformaciones que experimentan los materiales bajo la acción del láser CO2. Ensayo de exposición a la acción de la radiación ultravioleta (UV). Se determina el grado de afectación de las imágenes impresas al activar la capacidad autolimpiante de partículas orgánicas. Una serie de muestras de GRC® con TX Active® Aria impresa con láser CO2 se someten a ciclos de exposición de radiación ultravioleta de 26 horas de duración. Se somete la serie a un procedimiento de activación del aditivo TX Active®. Se simula la contaminación orgánica mediante la aplicación controlada de Rodamina B, tinte orgánico, y se simula la radiación UV mediante el empleo de una bombilla de emisión de rayos ultravioleta. Se realiza una toma sistemática de fotografías macroscópicas de la serie de muestras ensayadas: antes de aplicación de la Rodamina B, momento 00:00h, momento 04:00h y momento 26:00h del ensayo. Se procede a la descarga y análisis del histograma de las fotografías como registro de la actividad fotocatalítica. Ensayo de la capacidad autodescontaminante del GRC® con TX Active® impreso con láser CO2. Se comprueba si la capacidad autodescontaminante del GRC® con TX Active® se ve alterada como consecuencia de la impresión de la imagen fotográfica impresa con láser CO2. Serie de muestras de GRC® con TX Active® Aria impresa con láser CO2 se someten a test de capacidad autodescontaminante: atmósfera controlada y contaminada con óxidos de nitrógeno en los que se coloca cada pieza ensayada bajo la acción de una lámpara de emisión de radiación ultravioleta (UV). Se registra la actividad fotocatalítica en base a la variación de concentración de óxido de nitrógeno. Se recopila el análisis e interpretación de los resultados de los ensayos de laboratorio y se elaboran las conclusiones generales de la investigación. Se sintetizan las futuras líneas de investigación que, a partir de las investigaciones realizadas y de sus conclusiones generales, podrían desarrollarse en el ámbito de la impresión fotográfica sobre materiales arquitectónicos. Se describe el rendimiento tecnológico y artístico generado por las investigaciones previas que han dado origen y desarrollo a la Tesis Doctoral. ABSTRACT Since ancient time, humanity has been driven by an innate wish to reproduce and engrave "snapshots that could help to perpetúate or to look at one self". Photography's birth and its development as a mean to capture and fix "the direct image of the surrounding reality" quickly becomes a new aesthetical and poetical language allowing the artist to interpret and think over what has been observed. The photographer's eye is imprinted onto the image, and so the conceptual dialogue between the artist and the light beams begins. The current thesis suggests the creation of a new architectural skin through photography imprinting over stony materials. The search for material's expressiveness as a medium of artistic expression involves a change of scale as it transfers photographic snapshot into architecture and the use of a new photographic printing support over architectural materials. CO2 laser is the chosen printing system for this technique as it allows the physical union of the image and the architectonic project, generating an added value through the art of photography. The researched materials selected were Silestone®, Blanco Zeus and GRC® with TX Active® Aria. This new architectural skin contains the building surrounding as well as its interior volume, closing the architectonic "in & out" circle and adding a value to the project by introducing aesthetical and environmental sustainable concepts. Architecture companies related to the production and distribution of materials like Silestone® and GRC®, as well as companies specialized in photography printing over materials were consulted to obtain a State of the Art. A thorough analysis of photography's History from its origins to the digital era development was made and its artistic condition was studied in this thesis. In this study the author also makes a compilation of several photographic printing systems that evolved together with photographic snapshot devices. The CO2 laser-based photographic printing system is also described in depth. Regarding stony materials of architecture like Silestone®, Blanco Zeus and GRC® with TX Active® Aria, the present study also describes their manufacture processes as well as technical features, quality and application. There is also an explanation about the technique to capture the photographic image, its artistic justification and its CO2 laser-based printing system over the researched materials under different parameters. We also tested the feasibility of this new architectural skin over Silestone® Blanco Zeus and GRC® with TX Active® Aria. The pieces were tested under different parameters in three laboratory trials. Each trial comprises of an explanation of its objective and its process, the samples were numbered and the printing parameters were specified. Finally, with the analysis of the results some conclusions were drawn. In the thermal amplitude trial we tried to determine how printed images were affected as a result of the action of thermal contrasts. Series of samples of Silestone® Blanco Zeus and GRC® with TX Active® Aria printed with CO2 laser were subjected to several 12h warm-cold cycles for thermal total amplitude of 102oc. Each sample was captured systematically with microscopic enhanced lenses before and after cold-warm cycles. The changes experienced by these materials under the effect of CO2 laser were observed and recorded. Trial regarding the Ultraviolet Radiation (UR) effect on images. We determined to which extent printed images were affected once the self-cleaning organic particles were activated. This time GRC® with TX Active® Aria samples printed with CO2 laser were exposed to a 26h UR cycle. The samples were subjected to the activation of TX Active® additive. Through the controlled application of Rodamine B and organic dye we were able to simulate the organic contamination process. UR was simulated using an ultraviolet beam emission bulb. A systematic capture of macroscopic pictures of the tested sample series was performed at different time points: before Rodamine B application, at moment 00:00h, moment 04:00h and moment 26:00h of the trial. Picture's histogram was downloaded and analyzed as a log of photocatalytic activity. Trial regarding the self-decontaminating ability of GRC® with TX Active® printed with CO2 laser. We tested if this self-decontaminating ability is altered as a result of CO2 laser printed image. GRC® with TX Active® Aria samples printed with CO2 laser, were subject to self-decontaminating ability tests with controlled and nitrogen oxide contaminated atmosphere. Each piece was put under the action of an UR emission lamp. Photocatalytic activity was recorded according to the variation in nitrogen oxide concentration. The results of the trial and their interpretation as well as the general conclusions of the research are also compiled in the present study. Study conclusions enable to draw future research lines of potential applications of photographic printing over architecture materials. Previous research generated an artistic and technological outcome that led to the development of this doctoral thesis.

Massively parallelizable list-mode reconstruction using a Monte Carlo-based elliptical Gaussian model

Purpose: A fully three-dimensional (3D) massively parallelizable list-mode ordered-subsets expectation-maximization (LM-OSEM) reconstruction algorithm has been developed for high-resolution PET cameras. System response probabilities are calculated online from a set of parameters derived from Monte Carlo simulations. The shape of a system response for a given line of response (LOR) has been shown to be asymmetrical around the LOR. This work has been focused on the development of efficient region-search techniques to sample the system response probabilities, which are suitable for asymmetric kernel models, including elliptical Gaussian models that allow for high accuracy and high parallelization efficiency. The novel region-search scheme using variable kernel models is applied in the proposed PET reconstruction algorithm. Methods: A novel region-search technique has been used to sample the probability density function in correspondence with a small dynamic subset of the field of view that constitutes the region of response (ROR). The ROR is identified around the LOR by searching for any voxel within a dynamically calculated contour. The contour condition is currently defined as a fixed threshold over the posterior probability, and arbitrary kernel models can be applied using a numerical approach. The processing of the LORs is distributed in batches among the available computing devices, then, individual LORs are processed within different processing units. In this way, both multicore and multiple many-core processing units can be efficiently exploited. Tests have been conducted with probability models that take into account the noncolinearity, positron range, and crystal penetration effects, that produced tubes of response with varying elliptical sections whose axes were a function of the crystal's thickness and angle of incidence of the given LOR. The algorithm treats the probability model as a 3D scalar field defined within a reference system aligned with the ideal LOR. Results: This new technique provides superior image quality in terms of signal-to-noise ratio as compared with the histogram-mode method based on precomputed system matrices available for a commercial small animal scanner. Reconstruction times can be kept low with the use of multicore, many-core architectures, including multiple graphic processing units. Conclusions: A highly parallelizable LM reconstruction method has been proposed based on Monte Carlo simulations and new parallelization techniques aimed at improving the reconstruction speed and the image signal-to-noise of a given OSEM algorithm. The method has been validated using simulated and real phantoms. A special advantage of the new method is the possibility of defining dynamically the cut-off threshold over the calculated probabilities thus allowing for a direct control on the trade-off between speed and quality during the reconstruction.

Sistemas de Gestión de la Calidad. Metodología para implementar proyectos de mejora continua para la reducción de los defectos de construcción en edificación de viviendas

La mejora continua debería estar presente siempre en las empresas, dispongan o no de sistemas de gestión. Sin embargo, su aplicación en el sector de la construcción es especialmente difícil debido a las características particulares del mismo. Por este motivo se plantea el objetivo principal de esta Tesis Doctoral: “Establecer una metodología de trabajo que permita a las empresas constructoras implantar proyectos de mejora continua para incrementar la calidad de las viviendas entregadas a los usuarios”. En la investigación llevada a cabo se han inspeccionado 818 viviendas, recogiendo un total de 82.550 incidencias, las cuales se han analizado aplicando cuatro de las siete herramientas estadísticas básicas de la mejora continua (Hoja de recogida de datos, Estratificación, Histograma y Diagrama de Pareto), concluyendo que los tres oficios que concentran el 80% de los defectos, en los que convendría actuar para reducir de manera significativa los fallos de construcción en la fase de pre-entrega, son: Carpintería de Madera, Revestimientos Cerámicos e Instalación de Electricidad. De entre estos tres oficios se ha seleccionado el de Revestimientos Cerámicos para poner en práctica un proyecto de mejora continua. Analizando los datos relativos a este oficio se elabora un listado de 25 defectos tipo en los que se pueden agrupar todas las incidencias detectadas. Aplicando de nuevo las cuatro herramientas básicas de la calidad se destacan los 10 defectos tipo con mayor impacto en volumen de incidencias y en coste de reparación, para focalizar los esfuerzos de mejora. Con esta información se elabora un documento de criterios técnicos para la ejecución de los Revestimientos Cerámicos que se implanta, en parte, en varias obras para tratar de reducir los defectos detectados en las viviendas antes de la entrega a sus propietarios, y se definen unos Índices de Calidad para medir los resultados. Se toman datos de nuevo a 6 y 20 meses desde la implantación del protocolo, se analizan y se calculan los resultados del proyecto de mejora, concluyendo que se está avanzando positivamente. En base a toda la información recogida a lo largo del proceso de la investigación y de la experiencia del proyecto de mejora implantado, se presenta una propuesta de metodología para implementar proyectos de mejora, así como la documentación recomendada para su puesta en práctica, además de la documentación técnica específica para la prevención de los defectos de construcción en Revestimientos Cerámicos incluyendo las fichas de control para la recepción de materiales, control de ejecución y control de recepción del revestimiento terminado. ABSTRACT Continuous improvement should always be a core value in firms of all kinds, whether or not they implement management systems. Nevertheless, its application in the construction sector seems especially difficult due to its inherent intricacies and complexity. The study of this phenomenon is the main aim of the hereby presented PhD dissertation "Establishment of a working methodology that allows construction (related) firms to carry out projects of continuous improvement in order to increase the quality of housing upon delivery to the client". In the present research 818 housing units have been inspected, collecting a total of 82550 incidence entries, which have been analyzed by means of 4 out of the 7 basic statistical tools of continuous improvement: Data collection sheets, stratification, histogram, and Pareto diagram. The data shows that the 3 main trades where special actions should be taken in order to significantly reduce construction defects are: carpentry, ceramic cladding, and electricity systems. These trades combined account for the 80% of the total defects detected during the inspections. Among the mentioned works, ceramic tiling is selected as a continuous improvement case study project. Analysing data relative to this specific trade, a list of 25 defect types is developed. These types gather all detected defects under this group. Further applying the four statistical tools referred to above, the 10 most significant events are highlighted as to clearly determine the improvement measures. These events have the most impact on both volume of defects and reparation costs. This information is then put together in a document of technical criteria for the correct execution of ceramic tiling that is implemented in various ongoing projects under construction as to minimize the defects prior to the final delivery to the client. Also, a series of Quality Index are defined as criteria for execution suitability. 6 to 20 months after the implementation of this control protocol, the same process is repeated with the purpose of comparing results. It is concluded that a positive evolution takes place. Based both on the information collected throughout the research process and the experience of the case study, the dissertation proposes a methodology to successfully implement improvement projects along with reference documentation and specific technical documents for the prevention of construction defects in ceramic tiling, including (i) material reception control sheets, (ii) an execution control sheet, and a sheet relative to the (iii) control of the finished cladding.

On-line MRI sequences for the evaluation of apple internal quality.

On-line dynamic MRI, which is oriented to industrial grading lines, requires high-speed sequences with motion correction artefacts. In this study two different types of motion correction sequences have been used and have been implemented in real-time (FLASH and UFLARE). They are based on T2* and T2 respectively and their selection depends on the expected contrast effect of the disorder: while watercore enhances bright areas due to higher fluid mobility, internal breakdown potentiates low signal due to texture degradation. For watercore study, five different apple cultivars were used (Normanda-18-, Fuji-35-, Helada-36-, Verde Doncella-54-, Esperiega-75-) along two seasons (2011 and 2012). In total 218 fruits were measured under both, static conditions (20 slices per fruit) and under dynamic conditions (3 repetitions without slice selection). For internal breakdown, Braeburn cultivar has been studied (in total 106 fruits) under both static (20 slices per fruit) and dynamic conditions (3 replicates with slice selection). Metrological aspects such as repeatability of dynamic images and subsequent histogram feature stability become of major interest for further industrial application. Segregation ability among varying degrees of disorder is also analyzed.

HOG-Like gradient-based descriptor for visual vehicle detection

One of the main challenges for intelligent vehicles is the capability of detecting other vehicles in their environment, which constitute the main source of accidents. Specifically, many methods have been proposed in the literature for video-based vehicle detection. Most of them perform supervised classification using some appearance-related feature, in particular, symmetry has been extensively utilized. However, an in-depth analysis of the classification power of this feature is missing. As a first contribution of this paper, a thorough study of the classification performance of symmetry is presented within a Bayesian decision framework. This study reveals that the performance of symmetry-based classification is very limited. Therefore, as a second contribution, a new gradient-based descriptor is proposed for vehicle detection. This descriptor exploits the known rectangular structure of vehicle rears within a Histogram of Gradients (HOG)-based framework. Experiments show that the proposed descriptor outperforms largely symmetry as a feature for vehicle verification, achieving classification rates over 90%.

A new approach for the glotis segmentation using Snakes

The present work describes a new methodology for the automatic detection of the glottal space from laryngeal images based on active contour models (snakes). In order to obtain an appropriate image for the use of snakes based techniques, the proposed algorithm combines a pre-processing stage including some traditional techniques (thresholding and median filter) with more sophisticated ones such as anisotropic filtering. The value selected for the thresholding was fixed to the 85% of the maximum peak of the image histogram, and the anisotropic filter permits to distinguish two intensity levels, one corresponding to the background and the other one to the foreground (glottis). The initialization carried out is based on the magnitude obtained using the Gradient Vector Flow field, ensuring an automatic process for the selection of the initial contour. The performance of the algorithm is tested using the Pratt coefficient and compared against a manual segmentation. The results obtained suggest that this method provided results comparable with other techniques such as the proposed in (Osma-Ruiz et al., 2008).

Correction of the Colour Variations under Uncontrolled Lighting Conditions

Esta tesis trata sobre métodos de corrección que compensan la variación de las condiciones de iluminación en aplicaciones de imagen y video a color. Estas variaciones hacen que a menudo fallen aquellos algoritmos de visión artificial que utilizan características de color para describir los objetos. Se formulan tres preguntas de investigación que definen el marco de trabajo de esta tesis. La primera cuestión aborda las similitudes que se dan entre las imágenes de superficies adyacentes en relación a su comportamiento fotométrico. En base al análisis del modelo de formación de imágenes en situaciones dinámicas, esta tesis propone un modelo capaz de predecir las variaciones de color de la región de una determinada imagen a partir de las variaciones de las regiones colindantes. Dicho modelo se denomina Quotient Relational Model of Regions. Este modelo es válido cuando: las fuentes de luz iluminan todas las superficies incluídas en él; estas superficies están próximas entre sí y tienen orientaciones similares; y cuando son en su mayoría lambertianas. Bajo ciertas circunstancias, la respuesta fotométrica de una región se puede relacionar con el resto mediante una combinación lineal. No se ha podido encontrar en la literatura científica ningún trabajo previo que proponga este tipo de modelo relacional. La segunda cuestión va un paso más allá y se pregunta si estas similitudes se pueden utilizar para corregir variaciones fotométricas desconocidas en una región también desconocida, a partir de regiones conocidas adyacentes. Para ello, se propone un método llamado Linear Correction Mapping capaz de dar una respuesta afirmativa a esta cuestión bajo las circunstancias caracterizadas previamente. Para calcular los parámetros del modelo se requiere una etapa de entrenamiento previo. El método, que inicialmente funciona para una sola cámara, se amplía para funcionar en arquitecturas con varias cámaras sin solape entre sus campos visuales. Para ello, tan solo se necesitan varias muestras de imágenes del mismo objeto capturadas por todas las cámaras. Además, este método tiene en cuenta tanto las variaciones de iluminación, como los cambios en los parámetros de exposición de las cámaras. Todos los métodos de corrección de imagen fallan cuando la imagen del objeto que tiene que ser corregido está sobreexpuesta o cuando su relación señal a ruido es muy baja. Así, la tercera cuestión se refiere a si se puede establecer un proceso de control de la adquisición que permita obtener una exposición óptima cuando las condiciones de iluminación no están controladas. De este modo, se propone un método denominado Camera Exposure Control capaz de mantener una exposición adecuada siempre y cuando las variaciones de iluminación puedan recogerse dentro del margen dinámico de la cámara. Los métodos propuestos se evaluaron individualmente. La metodología llevada a cabo en los experimentos consistió en, primero, seleccionar algunos escenarios que cubrieran situaciones representativas donde los métodos fueran válidos teóricamente. El Linear Correction Mapping fue validado en tres aplicaciones de re-identificación de objetos (vehículos, caras y personas) que utilizaban como caracterísiticas la distribución de color de éstos. Por otra parte, el Camera Exposure Control se probó en un parking al aire libre. Además de esto, se definieron varios indicadores que permitieron comparar objetivamente los resultados de los métodos propuestos con otros métodos relevantes de corrección y auto exposición referidos en el estado del arte. Los resultados de la evaluación demostraron que los métodos propuestos mejoran los métodos comparados en la mayoría de las situaciones. Basándose en los resultados obtenidos, se puede decir que las respuestas a las preguntas de investigación planteadas son afirmativas, aunque en circunstancias limitadas. Esto quiere decir que, las hipótesis planteadas respecto a la predicción, la corrección basada en ésta y la auto exposición, son factibles en aquellas situaciones identificadas a lo largo de la tesis pero que, sin embargo, no se puede garantizar que se cumplan de manera general. Por otra parte, se señalan como trabajo de investigación futuro algunas cuestiones nuevas y retos científicos que aparecen a partir del trabajo presentado en esta tesis. ABSTRACT This thesis discusses the correction methods used to compensate the variation of lighting conditions in colour image and video applications. These variations are such that Computer Vision algorithms that use colour features to describe objects mostly fail. Three research questions are formulated that define the framework of the thesis. The first question addresses the similarities of the photometric behaviour between images of dissimilar adjacent surfaces. Based on the analysis of the image formation model in dynamic situations, this thesis proposes a model that predicts the colour variations of the region of an image from the variations of the surrounded regions. This proposed model is called the Quotient Relational Model of Regions. This model is valid when the light sources illuminate all of the surfaces included in the model; these surfaces are placed close each other, have similar orientations, and are primarily Lambertian. Under certain circumstances, a linear combination is established between the photometric responses of the regions. Previous work that proposed such a relational model was not found in the scientific literature. The second question examines whether those similarities could be used to correct the unknown photometric variations in an unknown region from the known adjacent regions. A method is proposed, called Linear Correction Mapping, which is capable of providing an affirmative answer under the circumstances previously characterised. A training stage is required to determine the parameters of the model. The method for single camera scenarios is extended to cover non-overlapping multi-camera architectures. To this extent, only several image samples of the same object acquired by all of the cameras are required. Furthermore, both the light variations and the changes in the camera exposure settings are covered by correction mapping. Every image correction method is unsuccessful when the image of the object to be corrected is overexposed or the signal-to-noise ratio is very low. Thus, the third question refers to the control of the acquisition process to obtain an optimal exposure in uncontrolled light conditions. A Camera Exposure Control method is proposed that is capable of holding a suitable exposure provided that the light variations can be collected within the dynamic range of the camera. Each one of the proposed methods was evaluated individually. The methodology of the experiments consisted of first selecting some scenarios that cover the representative situations for which the methods are theoretically valid. Linear Correction Mapping was validated using three object re-identification applications (vehicles, faces and persons) based on the object colour distributions. Camera Exposure Control was proved in an outdoor parking scenario. In addition, several performance indicators were defined to objectively compare the results with other relevant state of the art correction and auto-exposure methods. The results of the evaluation demonstrated that the proposed methods outperform the compared ones in the most situations. Based on the obtained results, the answers to the above-described research questions are affirmative in limited circumstances, that is, the hypothesis of the forecasting, the correction based on it, and the auto exposure are feasible in the situations identified in the thesis, although they cannot be guaranteed in general. Furthermore, the presented work raises new questions and scientific challenges, which are highlighted as future research work.

Conditional density approximations with mixtures of polynomials

Mixtures of polynomials (MoPs) are a non-parametric density estimation technique especially designed for hybrid Bayesian networks with continuous and discrete variables. Algorithms to learn one- and multi-dimensional (marginal) MoPs from data have recently been proposed. In this paper we introduce two methods for learning MoP approximations of conditional densities from data. Both approaches are based on learning MoP approximations of the joint density and the marginal density of the conditioning variables, but they differ as to how the MoP approximation of the quotient of the two densities is found. We illustrate and study the methods using data sampled from known parametric distributions, and we demonstrate their applicability by learning models based on real neuroscience data. Finally, we compare the performance of the proposed methods with an approach for learning mixtures of truncated basis functions (MoTBFs). The empirical results show that the proposed methods generally yield models that are comparable to or significantly better than those found using the MoTBF-based method.

Classifying GABAergic interneurons with semi-supervised projected model-based clustering

Objectives: A recently introduced pragmatic scheme promises to be a useful catalog of interneuron names.We sought to automatically classify digitally reconstructed interneuronal morphologies according tothis scheme. Simultaneously, we sought to discover possible subtypes of these types that might emergeduring automatic classification (clustering). We also investigated which morphometric properties weremost relevant for this classification.Materials and methods: A set of 118 digitally reconstructed interneuronal morphologies classified into thecommon basket (CB), horse-tail (HT), large basket (LB), and Martinotti (MA) interneuron types by 42 of theworld?s leading neuroscientists, quantified by five simple morphometric properties of the axon and fourof the dendrites. We labeled each neuron with the type most commonly assigned to it by the experts. Wethen removed this class information for each type separately, and applied semi-supervised clustering tothose cells (keeping the others? cluster membership fixed), to assess separation from other types and lookfor the formation of new groups (subtypes). We performed this same experiment unlabeling the cells oftwo types at a time, and of half the cells of a single type at a time. The clustering model is a finite mixtureof Gaussians which we adapted for the estimation of local (per-cluster) feature relevance. We performedthe described experiments on three different subsets of the data, formed according to how many expertsagreed on type membership: at least 18 experts (the full data set), at least 21 (73 neurons), and at least26 (47 neurons).Results: Interneurons with more reliable type labels were classified more accurately. We classified HTcells with 100% accuracy, MA cells with 73% accuracy, and CB and LB cells with 56% and 58% accuracy,respectively. We identified three subtypes of the MA type, one subtype of CB and LB types each, andno subtypes of HT (it was a single, homogeneous type). We got maximum (adapted) Silhouette widthand ARI values of 1, 0.83, 0.79, and 0.42, when unlabeling the HT, CB, LB, and MA types, respectively,confirming the quality of the formed cluster solutions. The subtypes identified when unlabeling a singletype also emerged when unlabeling two types at a time, confirming their validity. Axonal morphometricproperties were more relevant that dendritic ones, with the axonal polar histogram length in the [pi, 2pi) angle interval being particularly useful.Conclusions: The applied semi-supervised clustering method can accurately discriminate among CB, HT, LB, and MA interneuron types while discovering potential subtypes, and is therefore useful for neuronal classification. The discovery of potential subtypes suggests that some of these types are more heteroge-neous that previously thought. Finally, axonal variables seem to be more relevant than dendritic ones fordistinguishing among the CB, HT, LB, and MA interneuron types.

Methodology of image analysis for study of the vertisols moisture content

The main problem to study vertical drainage from the moisture distribution, on a vertisol profile, is searching for suitable methods using these procedures. Our aim was to design a digital image processing methodology and its analysis to characterize the moisture content distribution of a vertisol profile. In this research, twelve soil pits were excavated on a ba re Mazic Pellic Vertisols ix of them in May 13/2011 and the rest in May 19 /2011 after a moderate rainfall event. Digital RGB images were taken from each vertisol pit using a Kodak? camera selecting a size of 1600x945 pixels. Each soil image was processed to homogenized brightness and then a spatial filter with several window sizes was applied to select the optimum one. The RGB image obtained were divided in each matrix color selecting the best thresholds for each one, maximum and minimum, to be applied and get a digital binary pattern. This one was analyzed by estimating two fractal scaling exponents box counting dimension D BC) and interface fractal dimension (D) In addition, three pre-fractal scaling coefficients were determinate at maximum resolution: total number of boxes intercepting the foreground pattern (A), fractal lacunarity (?1) and Shannon entropy S1). For all the images processed the spatial filter 9x9 was the optimum based on entropy, cluster and histogram criteria. Thresholds for each color were selected based on bimodal histograms.

Robust Image Registration with Global Intensity Transformation

This paper presents a registration method for images with global illumination variations. The method is based on a joint iterative optimization (geometric and photometric) of the L1 norm of the intensity error. Two strategies are compared to directly find the appropriate intensity transformation within each iteration: histogram specification and the solution obtained by analyzing the necessary optimality conditions. Such strategies reduce the search space of the joint optimization to that of the geometric transformation between the images.

Image enhancement with MatLab algorithms

Nowadays, a lot of applications use digital images. For example in face recognition to detect and tag persons in photograph, for security control, and a lot of applications that can be found in smart cities, as speed control in roads or highways and cameras in traffic lights to detect drivers ignoring red light. Also in medicine digital images are used, such as x-ray, scanners, etc. These applications depend on the quality of the image obtained. A good camera is expensive, and the image obtained depends also on external factor as light. To make these applications work properly, image enhancement is as important as, for example, a good face detection algorithm. Image enhancement also can be used in normal photograph, for pictures done in bad light conditions, or just to improve the contrast of an image. There are some applications for smartphones that allow users apply filters or change the bright, colour or contrast on the pictures. This project compares four different techniques to use in image enhancement. After applying one of these techniques to an image, it will use better the whole available dynamic range. Some of the algorithms are designed for grey scale images and others for colour images. It is used Matlab software to develop and present the final results. These algorithms are Successive Means Quantization Transform (SMQT), Histogram Equalization, using Matlab function and own implemented function, and V transform. Finally, as conclusions, we can prove that Histogram equalization algorithm is the simplest of all, it has a wide variability of grey levels and it is not suitable for colour images. V transform algorithm is a good option for colour images. The algorithm is linear and requires low computational power. SMQT algorithm is non-linear, insensitive to gain and bias and it can extract structure of the data. RESUMEN. Hoy en día incontable número de aplicaciones usan imágenes digitales. Por ejemplo, para el control de la seguridad se usa el reconocimiento de rostros para detectar y etiquetar personas en fotografías o vídeos, para distintos usos de las ciudades inteligentes, como control de velocidad en carreteras o autopistas, cámaras en los semáforos para detectar a conductores haciendo caso omiso de un semáforo en rojo, etc. También en la medicina se utilizan imágenes digitales, como por ejemplo, rayos X, escáneres, etc. Todas estas aplicaciones dependen de la calidad de la imagen obtenida. Una buena cámara es cara, y la imagen obtenida depende también de factores externos como la luz. Para hacer que estas aplicaciones funciones correctamente, el tratamiento de imagen es tan importante como, por ejemplo, un buen algoritmo de detección de rostros. La mejora de la imagen también se puede utilizar en la fotografía no profesional o de consumo, para las fotos realizadas en malas condiciones de luz, o simplemente para mejorar el contraste de una imagen. Existen aplicaciones para teléfonos móviles que permiten a los usuarios aplicar filtros y cambiar el brillo, el color o el contraste en las imágenes. Este proyecto compara cuatro técnicas diferentes para utilizar el tratamiento de imagen. Se utiliza la herramienta de software matemático Matlab para desarrollar y presentar los resultados finales. Estos algoritmos son Successive Means Quantization Transform (SMQT), Ecualización del histograma, usando la propia función de Matlab y una nueva función que se desarrolla en este proyecto y, por último, una función de transformada V. Finalmente, como conclusión, podemos comprobar que el algoritmo de Ecualización del histograma es el más simple de todos, tiene una amplia variabilidad de niveles de gris y no es adecuado para imágenes en color. El algoritmo de transformada V es una buena opción para imágenes en color, es lineal y requiere baja potencia de cálculo. El algoritmo SMQT no es lineal, insensible a la ganancia y polarización y, gracias a él, se puede extraer la estructura de los datos.

Voltage dependence of the pattern and frequency of discrete Ca2+ release events after brief repriming in frog skeletal muscle

Applying a brief repolarizing pre-pulse to a depolarized frog skeletal muscle fiber restores a small fraction of the transverse tubule membrane voltage sensors from the inactivated state. During a subsequent depolarizing test pulse we detected brief, highly localized elevations of myoplasmic Ca2+ concentration (Ca2+ “sparks”) initiated by restored voltage sensors in individual triads at all test pulse voltages. The latency histogram of these events gives the gating pattern of the sarcoplasmic reticulum (SR) calcium release channels controlled by the restored voltage sensors. Both event frequency and clustering of events near the start of the test pulse increase with test pulse depolarization. The macroscopic SR calcium release waveform, obtained from the spark latency histogram and the estimated open time of the channel or channels underlying a spark, exhibits an early peak and rapid marked decline during large depolarizations. For smaller depolarizations, the release waveform exhibits a smaller peak and a slower decline. However, the mean use time and mean amplitude of the individual sparks are quite similar at all test depolarizations and at all times during a given depolarization, indicating that the channel open times and conductances underlying sparks are essentially independent of voltage. Thus, the voltage dependence of SR Ca2+ release is due to changes in the frequency and pattern of occurrence of individual, voltage-independent, discrete release events.

Genetic instability of cancer cells is proportional to their degree of aneuploidy

Genetic and phenotypic instability are hallmarks of cancer cells, but their cause is not clear. The leading hypothesis suggests that a poorly defined gene mutation generates genetic instability and that some of many subsequent mutations then cause cancer. Here we investigate the hypothesis that genetic instability of cancer cells is caused by aneuploidy, an abnormal balance of chromosomes. Because symmetrical segregation of chromosomes depends on exactly two copies of mitosis genes, aneuploidy involving chromosomes with mitosis genes will destabilize the karyotype. The hypothesis predicts that the degree of genetic instability should be proportional to the degree of aneuploidy. Thus it should be difficult, if not impossible, to maintain the particular karyotype of a highly aneuploid cancer cell on clonal propagation. This prediction was confirmed with clonal cultures of chemically transformed, aneuploid Chinese hamster embryo cells. It was found that the higher the ploidy factor of a clone, the more unstable was its karyotype. The ploidy factor is the quotient of the modal chromosome number divided by the normal number of the species. Transformed Chinese hamster embryo cells with a ploidy factor of 1.7 were estimated to change their karyotype at a rate of about 3% per generation, compared with 1.8% for cells with a ploidy factor of 0.95. Because the background noise of karyotyping is relatively high, the cells with low ploidy factor may be more stable than our method suggests. The karyotype instability of human colon cancer cell lines, recently analyzed by Lengnauer et al. [Lengnauer, C., Kinzler, K. W. & Vogelstein, B. (1997) Nature (London) 386, 623–627], also corresponds exactly to their degree of aneuploidy. We conclude that aneuploidy is sufficient to explain genetic instability and the resulting karyotypic and phenotypic heterogeneity of cancer cells, independent of gene mutation. Because aneuploidy has also been proposed to cause cancer, our hypothesis offers a common, unique mechanism of altering and simultaneously destabilizing normal cellular phenotypes.

Sleep modifies retinal ganglion cell responses in the normal rat

Recordings were obtained from the visual system of rats as they cycled normally between waking (W), slow-wave sleep (SWS), and rapid eye movement (REM) sleep. Responses to flashes delivered by a light-emitting diode attached permanently to the skull were recorded through electrodes implanted on the cornea, in the chiasm, and on the cortex. The chiasm response reveals the temporal order in which the activated ganglion cell population exits the eyeball; as reported, this triphasic event is invariably short in latency (5–10 ms) and around 300 ms in duration, called the histogram. Here we describe the differences in the histograms recorded during W, SWS, and REM. SWS histograms are always larger than W histograms, and an REM histogram can resemble either. In other words, the optic nerve response to a given stimulus is labile; its configuration depends on whether the rat is asleep or awake. We link this physiological information with the anatomical fact that the brain dorsal raphe region, which is known to have a sleep regulatory role, sends fibers to the rat retina and receives fibers from it. At the cortical electrode, the visual cortical response amplitudes also vary, being largest during SWS. This well known phenomenon often is explained by changes taking place at the thalamic level. However, in the rat, the labile cortical response covaries with the labile optic nerve response, which suggests the cortical response enhancement during SWS is determined more by what happens in the retina than by what happens in the thalamus.