Spatially Adaptive Image Denoising Techniques Using Directionlets

The aim of the thesis was to design and develop spatially adaptive denoising techniques with edge and feature preservation, for images corrupted with additive white Gaussian noise and SAR images affected with speckle noise. Image denoising is a well researched topic. It has found multifaceted applications in our day to day life. Image denoising based on multi resolution analysis using wavelet transform has received considerable attention in recent years. The directionlet based denoising schemes presented in this thesis are effective in preserving the image specific features like edges and contours in denoising. Scope of this research is still open in areas like further optimization in terms of speed and extension of the techniques to other related areas like colour and video image denoising. Such studies would further augment the practical use of these techniques.

Silbernanoteilchen auf Magnesiumoxid - Über den Vergleich von optischer Spektroskopie, Rasterkraftmikroskopie und Transmissionselektronenmikroskopie

In der vorliegenden Arbeit wurde das Wachstum von Silbernanoteilchen auf Magnesiumoxid und dabei insbesondere deren Größen- und Formrelation untersucht. Hierzu wurden Silbernanoteilchen auf ausgedehnten Magnesiumoxidsubstraten sowie auf Magnesiumoxid-Nanowürfeln präpariert. Zur Charakterisierung wurde die optische Spektroskopie, die Rasterkraftmikroskopie und die Transmissionselektronenmikroskopie eingesetzt. Während die Elektronenmikroskopie direkt sehr exakte Daten bezüglich der Größe und Form der Nanoteilchen liefert, kann mit den beiden anderen in dieser Arbeit verwendeten Charakterisierungsmethoden jeweils nur ein Parameter bestimmt werden. So kann man die Größe der Nanoteilchen indirekt mit Hilfe des AFM, durch Messung der Teilchananzahldichte, bestimmen. Bei der Bestimmung der Form mittels optischer Spektroskopie nutzt man aus, dass die spektralen Positionen der Plasmonresonanzen in dem hier verwendeten Größenbereich von etwa 2 - 10~nm nur von der Form aber nicht von der Größe der Teilchen abhängen. Ein wesentliches Ziel dieser Arbeit war es, die Ergebnisse bezüglich der Form und Größe der Nanoteilchen, die mit den unterschiedlichen Messmethoden erhalten worden sind zu vergleichen. Dabei hat sich gezeigt, dass die mit dem AFM und dem TEM bestimmten Größen signifikant voneinander Abweichen. Zur Aufklärung dieser Diskrepanz wurde ein geometrisches Modell aufgestellt und AFM-Bilder von Nanoteilchen simuliert. Bei dem Vergleich von optischer Spektroskopie und Transmissionselektronenmikroskopie wurde eine recht gute Übereinstimmung zwischen den ermittelten Teilchenformen gefunden. Hierfür wurden die gemessenen optischen Spektren mit Modellrechnungen verglichen, woraus man die Relation zwischen Teilchengröße und -form erhielt. Eine Übereinstimmung zwischen den erhaltenen Daten ergibt sich nur, wenn bei der Modellierung der Spektren die Form- und Größenverteilung der Nanoteilchen berücksichtigt wird. Insgesamt hat diese Arbeit gezeigt, dass die Kombination von Rasterkraftmikroskopie und optischer Spektroskopie ein vielseitiges Charakterisierungsverfahren für Nanoteilchen. Die daraus gewonnenen Ergebnisse sind innerhalb gewisser Fehlergrenzen gut mit der Transmissionselektronenmikroskopie vergleichbar.

Perceiving Illumination Inconsistencies in Scenes

The human visual system is adept at detecting and encoding statistical regularities in its spatio-temporal environment. Here we report an unexpected failure of this ability in the context of perceiving inconsistencies in illumination distributions across a scene. Contrary to predictions from previous studies [Enns and Rensink, 1990; Sun and Perona, 1996a, 1996b, 1997], we find that the visual system displays a remarkable lack of sensitivity to illumination inconsistencies, both in experimental stimuli and in images of real scenes. Our results allow us to draw inferences regarding how the visual system encodes illumination distributions across scenes. Specifically, they suggest that the visual system does not verify the global consistency of locally derived estimates of illumination direction.

Thermal Noise Behavior of the Bridge Circuit

This paper considers a connection between the deterministic and noisy behavior of nonlinear networks. Specifically, a particular bridge circuit is examined which has two possibly nonlinear energy storage elements. By proper choice of the constitutive relations for the network elements, the deterministic terminal behavior reduces to that of a single linear resistor. This reduction of the deterministic terminal behavior, in which a natural frequency of a linear circuit does not appear in the driving-point impedance, has been shown in classical circuit theory books (e.g. [1, 2]). The paper shows that, in addition to the reduction of the deterministic behavior, the thermal noise at the terminals of the network, arising from the usual Nyquist-Johnson noise model associated with each resistor in the network, is also exactly that of a single linear resistor. While this result for the linear time-invariant (LTI) case is a direct consequence of a well-known result for RLC circuits, the nonlinear result is novel. We show that the terminal noise current is precisely that predicted by the Nyquist-Johnson model for R if the driving voltage is zero or constant, but not if the driving voltage is time-dependent or the inductor and capacitor are time-varying

A method to obtain the integrated contour image in colour scenes

This paper describes a method to achieve the most relevant contours of an image. The presented method proposes to integrate the information of the local contours from chromatic components such as H, S and I, taking into account the criteria of coherence of the local contour orientation values obtained from each of these components. The process is based on parametrizing pixel by pixel the local contours (magnitude and orientation values) from the H, S and I images. This process is carried out individually for each chromatic component. If the criterion of dispersion of the obtained orientation values is high, this chromatic component will lose relevance. A final processing integrates the extracted contours of the three chromatic components, generating the so-called integrated contours image

Implementation of a robust coded structured light technique for dynamic 3D measurements

This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of patterns onto a measuring surface and grabbing images of every projection with a camera. Analyzing the pattern deformations that appear in the images, 3D information of the surface can be calculated. The implemented technique projects a unique pattern so that it can be used to measure moving surfaces. The structure of the pattern is a grid where the color of the slits are selected using a De Bruijn sequence. Moreover, since both axis of the pattern are coded, the cross points of the grid have two codewords (which permits to reconstruct them very precisely), while pixels belonging to horizontal and vertical slits have also a codeword. Different sets of colors are used for horizontal and vertical slits, so the resulting pattern is invariant to rotation. Therefore, the alignment constraint between camera and projector considered by a lot of authors is not necessary

Human heart

A colour image of the human heart. This is an image taken from Anatomy tv, an interactive resource for teaching and learning in anatomy and physiology which the University Library subscribes to. This image may not be changed, but you may take a copy and present it with other materials and resources you are using so long as they are password protected for access by members of the University only. All products and all images within the products are protected by copyright. The products and images can only be used for private educational purposes, unless a specific license is purchased for any other usage. For any commercial usage of the images, please contact Primal Pictures Limited. The products allow members of the University of Southampton to ‘copy and paste’ all of the text as well as the images in the 3D-model window and all of the slides. These can then be pasted into nearly any other word-processing or graphics program, including Powerpoint. These resources can be made available to members of the University of Southampton via a password-protected service. This again is designed solely as a service for private educational uses. Like any publisher, Primal Pictures protects itself against copyright infringement. Please do contact Debra Morris in the University Library before using these resources to ensure that conditions are respected. ©Primal Pictures Limited 2007

Experiencia práctica de bases de datos educativas en el campo de la parasitología.

En la presente comunicación se describe la creación y aplicación de una base de datos educativa en el campo de la parasitología, en la Facultad de Biología de la Universidad Complutense de Madrid. El material depositado en las colecciones de parasitología del departamento de zoología y antropología física de la UCM fue fotografiado en su totalidad y con las imágenes resultantes se creó una base de datos (banco de imágenes). El aprovechamiento de estas imágenes, como recurso educativo, se aplicó en tres vertientes: 1. la creación de un museo virtual que será asequible desde Internet; 2. la edición de materiales docentes en el marco de los proyectos de innovación y mejora de la calidad docente de la UCM y 3. el desarrollo de una asignatura telemática, impartida exclusivamente a través de un campus virtual.

Osteomielitis esternal: utilidad de las pruebas de diagnóstico por imágenes con enfoque en medicina nuclear

Introducción: El diagnóstico de osteomielitis esternal post-esternotomía resulta difícil empleando síntomas clínicos o de laboratorio y las imágenes morfológicas orientan a sospecha más que al diagnóstico. Un diagnóstico precoz ofrece calidad de vida y el mejor tratamiento para reducir una mortalidad que oscila entre 14% y 47%. La gammagrafía con leucocitos marcados ofrece el mejor rendimiento diagnóstico para infecciones y se destaca como el patrón de oro diagnóstico. Objetivo: Identificar el desempeño y utilidad de la gammagrafía con leucocitos autólogos marcados con 99mTc-HMPAO en los estudios realizados para la evaluación de osteomielitis esternal. Materiales y métodos: Se realizó un estudio descriptivo, retrospectivo de prueba diagnóstica en la Fundación Cardioinfantil de Bogotá entre enero/2010 y mayo/2015 evaluando gammagrafías con leucocitos marcados ante la sospecha de osteomielitis posterior a esternotomía. Resultados: Se evaluaron 52 pacientes, en los que la gammagrafía con leucocitos mostró 23 pacientes (44,2%) con osteomielitis esternal, logrando una sensibilidad y especificidad del 88,46% y 100% respectivamente. El valor predictivo positivo fue de 100%, y el valor predictivo negativo fue de 89,66%. El impacto de una prueba negativa no modificó el manejo médico inicial en el 93% de los casos mientras que una prueba positiva lo modificó en el 83%. Conclusiones: La gammagrafía con leucocitos autólogos radiomarcados con 99mTc-HMPAO continúa siendo el patrón de oro de referencia no invasiva para el diagnóstico de osteomielitis, y en el caso de osteomielitis esternal se convierte en la prueba de elección pertinente en la selección de pacientes que ameritan una re-intervención quirúrgica.

Salvador Dalí y el método paranoico-crítico, visión desde el psicoanálisis

Surrealismo y psicoanálisis, dos movimientos que buscaban liberar al sujeto de sus represiones, mantuvieron una relación cercana desde distintas perspectivas, la cual alcanzó su apogeo bajo la representación de sus principales referentes, Sigmund Freud, André Breton y Salvador Dalí. Este último se destaca por su deseo intenso de acercarse al analista austriaco, una vez se aproximó a la obra psicoanalítica, corriente de pensamiento que influiría en su obra artística y vida personal. En este sentido, se realiza una revisión sistemática de literatura con la intención de reconocer la influencia de la obra psicoanalítica en la vida y obra de Salvador Dalí. Se encontró que la relación entre la corriente de pensamiento y el artista español se ubica en el plano teórico y personal. Siendo admirador de las ideas psicoanalíticas, Salvador Dalí las incorpora como fundamento teórico del método paranoico-crítico, propuesta de creación artística, dando lugar a la paranoia como elemento sistematizador de la confusión.

Reading hybrid texts : remarks on text/image transitions

The reading of printed materials implies the visual processing of information originated in two distinct semiotic systems. The rapid identification of redundancy, complementation or contradiction rhetoric strategies between the two information types may be crucial for an adequate interpretation of bimodal materials. Hybrid texts (verbal and visual) are particular instances of bimodal materials, where the redundant information is often neglected while the complementary and the contradictory ones are essential.Studies using the 504 ASL eye-tracking system while reading either additive or exhibiting captions (Baptista, 2009) revealed fixations on the verbal material and transitions between the written and the pictorial in a much higher number and duration than the initially foreseen as necessary to read the verbal text. We therefore hypothesized that confirmation strategies of the written information are taking place, by using information available in the other semiotic system.Such eye-gaze patterns obtained from denotative texts and pictures seem to contradict some of the scarce existing data on visual processing of texts and images, namely cartoons (Carroll, Young and Guertain, 1992), descriptive captions (Hegarty, 1992 a and b), and advertising images with descriptive and explanatory texts (cf. Rayner and Rotello, 2001, who refer to a previous reading of the whole text before looking at the image, or even Rayner, Miller and Rotello, 2008 who refer to an earlier and longer look at the picture) and seem to consolidate findings of Radach et al. (2003) on systematic transitions between text and image.By framing interest areas in the printed pictorial material of non redundant hybrid texts, we have identified the specific areas where transitions take place after fixations in the verbal text. The way those transitions are processed brings a new interest to further research.

Formas de pertenencia religiosa y procesos de construcción del espacio en la migración latinoamericana: entre vínculos colonizados y redenciones creativas (Estudios)

La religión es un tema que se ha ligado a los temas de migración debido al interés en las transacciones e interconexiones que se presentan entre los migrantes y sus familias residentes en los países de origen, así como a la importancia que tienen las prácticas religiosas para los migrantes en sus países de destino. Al examinar casos concretos de migración y al comparar diferentes grupos religiosos –tanto católicos como quienes no están vinculados a una institución religiosa– se observa la continuidad y los cambios de las formas de pertenencia, cuyas raíces provienen de la historia colonial. Analizando los procesos de construcción del espacio religioso se investiga si el traslado de concepciones e imágenes religiosas está provocando nuevos esencialismos o culturas híbridas, en las cuales se articulan bricolajes de ideologías y cosmovisiones. Los casos comparados evidencian que las religiones y sus aparatos tienen una importante influencia en las concepciones y percepciones del espacio, los cuales determinan las prácticas y pertenencias sociales.

Multiple-scattering in radar systems: a review

Although extensively studied within the lidar community, the multiple scattering phenomenon has always been considered a rare curiosity by radar meteorologists. Up to few years ago its appearance has only been associated with two- or three-body-scattering features (e.g. hail flares and mirror images) involving highly reflective surfaces. Recent atmospheric research aimed at better understanding of the water cycle and the role played by clouds and precipitation in affecting the Earth's climate has driven the deployment of high frequency radars in space. Examples are the TRMM 13.5 GHz, the CloudSat 94 GHz, the upcoming EarthCARE 94 GHz, and the GPM dual 13-35 GHz radars. These systems are able to detect the vertical distribution of hydrometeors and thus provide crucial feedbacks for radiation and climate studies. The shift towards higher frequencies increases the sensitivity to hydrometeors, improves the spatial resolution and reduces the size and weight of the radar systems. On the other hand, higher frequency radars are affected by stronger extinction, especially in the presence of large precipitating particles (e.g. raindrops or hail particles), which may eventually drive the signal below the minimum detection threshold. In such circumstances the interpretation of the radar equation via the single scattering approximation may be problematic. Errors will be large when the radiation emitted from the radar after interacting more than once with the medium still contributes substantially to the received power. This is the case if the transport mean-free-path becomes comparable with the instrument footprint (determined by the antenna beam-width and the platform altitude). This situation resembles to what has already been experienced in lidar observations, but with a predominance of wide- versus small-angle scattering events. At millimeter wavelengths, hydrometeors diffuse radiation rather isotropically compared to the visible or near infrared region where scattering is predominantly in the forward direction. A complete understanding of radiation transport modeling and data analysis methods under wide-angle multiple scattering conditions is mandatory for a correct interpretation of echoes observed by space-borne millimeter radars. This paper reviews the status of research in this field. Different numerical techniques currently implemented to account for higher order scattering are reviewed and their weaknesses and strengths highlighted. Examples of simulated radar backscattering profiles are provided with particular emphasis given to situations in which the multiple scattering contributions become comparable or overwhelm the single scattering signal. We show evidences of multiple scattering effects from air-borne and from CloudSat observations, i.e. unique signatures which cannot be explained by single scattering theory. Ideas how to identify and tackle the multiple scattering effects are discussed. Finally perspectives and suggestions for future work are outlined. This work represents a reference-guide for studies focused at modeling the radiation transport and at interpreting data from high frequency space-borne radar systems that probe highly opaque scattering media such as thick ice clouds or precipitating clouds.

Final report on research project PS2010, proof of concept of automated mapping of weeds in arable fields

Many weeds occur in patches but farmers frequently spray whole fields to control the weeds in these patches. Given a geo-referenced weed map, technology exists to confine spraying to these patches. Adoption of patch spraying by arable farmers has, however, been negligible partly due to the difficulty of constructing weed maps. Building on previous DEFRA and HGCA projects, this proposal aims to develop and evaluate a machine vision system to automate the weed mapping process. The project thereby addresses the principal technical stumbling block to widespread adoption of site specific weed management (SSWM). The accuracy of weed identification by machine vision based on a single field survey may be inadequate to create herbicide application maps. We therefore propose to test the hypothesis that sufficiently accurate weed maps can be constructed by integrating information from geo-referenced images captured automatically at different times of the year during normal field activities. Accuracy of identification will also be increased by utilising a priori knowledge of weeds present in fields. To prove this concept, images will be captured from arable fields on two farms and processed offline to identify and map the weeds, focussing especially on black-grass, wild oats, barren brome, couch grass and cleavers. As advocated by Lutman et al. (2002), the approach uncouples the weed mapping and treatment processes and builds on the observation that patches of these weeds are quite stable in arable fields. There are three main aspects to the project. 1) Machine vision hardware. Hardware component parts of the system are one or more cameras connected to a single board computer (Concurrent Solutions LLC) and interfaced with an accurate Global Positioning System (GPS) supplied by Patchwork Technology. The camera(s) will take separate measurements for each of the three primary colours of visible light (red, green and blue) in each pixel. The basic proof of concept can be achieved in principle using a single camera system, but in practice systems with more than one camera may need to be installed so that larger fractions of each field can be photographed. Hardware will be reviewed regularly during the project in response to feedback from other work packages and updated as required. 2) Image capture and weed identification software. The machine vision system will be attached to toolbars of farm machinery so that images can be collected during different field operations. Images will be captured at different ground speeds, in different directions and at different crop growth stages as well as in different crop backgrounds. Having captured geo-referenced images in the field, image analysis software will be developed to identify weed species by Murray State and Reading Universities with advice from The Arable Group. A wide range of pattern recognition and in particular Bayesian Networks will be used to advance the state of the art in machine vision-based weed identification and mapping. Weed identification algorithms used by others are inadequate for this project as we intend to collect and correlate images collected at different growth stages. Plants grown for this purpose by Herbiseed will be used in the first instance. In addition, our image capture and analysis system will include plant characteristics such as leaf shape, size, vein structure, colour and textural pattern, some of which are not detectable by other machine vision systems or are omitted by their algorithms. Using such a list of features observable using our machine vision system, we will determine those that can be used to distinguish weed species of interest. 3) Weed mapping. Geo-referenced maps of weeds in arable fields (Reading University and Syngenta) will be produced with advice from The Arable Group and Patchwork Technology. Natural infestations will be mapped in the fields but we will also introduce specimen plants in pots to facilitate more rigorous system evaluation and testing. Manual weed maps of the same fields will be generated by Reading University, Syngenta and Peter Lutman so that the accuracy of automated mapping can be assessed. The principal hypothesis and concept to be tested is that by combining maps from several surveys, a weed map with acceptable accuracy for endusers can be produced. If the concept is proved and can be commercialised, systems could be retrofitted at low cost onto existing farm machinery. The outputs of the weed mapping software would then link with the precision farming options already built into many commercial sprayers, allowing their use for targeted, site-specific herbicide applications. Immediate economic benefits would, therefore, arise directly from reducing herbicide costs. SSWM will also reduce the overall pesticide load on the crop and so may reduce pesticide residues in food and drinking water, and reduce adverse impacts of pesticides on non-target species and beneficials. Farmers may even choose to leave unsprayed some non-injurious, environmentally-beneficial, low density weed infestations. These benefits fit very well with the anticipated legislation emerging in the new EU Thematic Strategy for Pesticides which will encourage more targeted use of pesticides and greater uptake of Integrated Crop (Pest) Management approaches, and also with the requirements of the Water Framework Directive to reduce levels of pesticides in water bodies. The greater precision of weed management offered by SSWM is therefore a key element in preparing arable farming systems for the future, where policy makers and consumers want to minimise pesticide use and the carbon footprint of farming while maintaining food production and security. The mapping technology could also be used on organic farms to identify areas of fields needing mechanical weed control thereby reducing both carbon footprints and also damage to crops by, for example, spring tines. Objective i. To develop a prototype machine vision system for automated image capture during agricultural field operations; ii. To prove the concept that images captured by the machine vision system over a series of field operations can be processed to identify and geo-reference specific weeds in the field; iii. To generate weed maps from the geo-referenced, weed plants/patches identified in objective (ii).

Induction of modular classification rules: using Jmax-pruning

The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree structure. Classifiers induced by Prism algorithms achieve a comparable accuracy compared with decision trees and in some cases even outperform decision trees. Both kinds of algorithms tend to overfit on large and noisy datasets and this has led to the development of pruning methods. Pruning methods use various metrics to truncate decision trees or to eliminate whole rules or single rule terms from a Prism rule set. For decision trees many pre-pruning and postpruning methods exist, however for Prism algorithms only one pre-pruning method has been developed, J-pruning. Recent work with Prism algorithms examined J-pruning in the context of very large datasets and found that the current method does not use its full potential. This paper revisits the J-pruning method for the Prism family of algorithms and develops a new pruning method Jmax-pruning, discusses it in theoretical terms and evaluates it empirically.