CCD image sensor induced error in PIV applications

The readout procedure of charge-coupled device (CCD) cameras is known to generate some image degradation in different scientific imaging fields, especially in astrophysics. In the particular field of particle image velocimetry (PIV), widely extended in the scientific community, the readout procedure of the interline CCD sensor induces a bias in the registered position of particle images. This work proposes simple procedures to predict the magnitude of the associated measurement error. Generally, there are differences in the position bias for the different images of a certain particle at each PIV frame. This leads to a substantial bias error in the PIV velocity measurement (~0.1 pixels). This is the order of magnitude that other typical PIV errors such as peak-locking may reach. Based on modern CCD technology and architecture, this work offers a description of the readout phenomenon and proposes a modeling for the CCD readout bias error magnitude. This bias, in turn, generates a velocity measurement bias error when there is an illumination difference between two successive PIV exposures. The model predictions match the experiments performed with two 12-bit-depth interline CCD cameras (MegaPlus ES 4.0/E incorporating the Kodak KAI-4000M CCD sensor with 4 megapixels). For different cameras, only two constant values are needed to fit the proposed calibration model and predict the error from the readout procedure. Tests by different researchers using different cameras would allow verification of the model, that can be used to optimize acquisition setups. Simple procedures to obtain these two calibration values are also described.

Using different satellite imagery and classification techniques to assess the contribution of trees outside forests in the municipality of Maringá, Brazil

Forest cover of the Maringá municipality, located in northern Parana State, was mapped in this study. Mapping was carried out by using high-resolution HRC sensor imagery and medium resolution CCD sensor imagery from the CBERS satellite. Images were georeferenced and forest vegetation patches (TOFs - trees outside forests) were classified using two methods of digital classification: reflectance-based or the digital number of each pixel, and object-oriented. The areas of each polygon were calculated, which allowed each polygon to be segregated into size classes. Thematic maps were built from the resulting polygon size classes and summary statistics generated from each size class for each area. It was found that most forest fragments in Maringá were smaller than 500 m². There was also a difference of 58.44% in the amount of vegetation between the high-resolution imagery and medium resolution imagery due to the distinct spatial resolution of the sensors. It was concluded that high-resolution geotechnology is essential to provide reliable information on urban greens and forest cover under highly human-perturbed landscapes.

Patient comfort in periapical examination using digital receptors

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Determinação da profundidade da lesão de cárie oclusal em dentes decíduos por meio de radiografias convencional e digital direta. Efetividade dos recursos de imagem e desempenho do examinador

Pós-graduação em Odontologia - FOAR

Influência dos simuladores de tecidos moles na densidade óssea e dentária por meio de duas análises radiográficas: subtração digital e intensidade de pixel

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

La deflessione della verticale ed il coefficiente di rifrazione atmosferico nel monitoraggio in alta precisione

La tesi è suddivisa in due parti. La prima è dedicata alla determinazione della Deflessione della Verticale (DdV) in Medicina (BO). Vengono presentati tre metodi per la determinazione delle componenti della DdV. Il primo utilizza la livellazione geometrica ed il sistema GNSS, il secondo, eseguito dal dott. Serantoni, utilizza il sistema QDaedalus, messo a punto all' ETH di Zurigo ed il terzo approccio utilizza il programma ConvER, messo a disposizione dalla regione Emilia-Romagna. Nella seconda parte viene presentato un metodo per la determinazione del Coefficiente di Rifrazione Atmosferico (CRA). La procedura di calcolo è di tipo iterativo ed utilizza, oltre agli angoli zenitali, anche le distanze misurate. Il metodo è stato testato in due aree di studio. La prima nella città di Limassol (Cipro) in ambiente urbano nell' autunno 2013. La seconda in Venezia nella laguna durante l'estate 2014.

Sistema de medida de mapa de electroluminiscencia para células solares de concentración

En este Trabajo Fin de Master se desarrolla una aplicación basada en Labview diseñada para la adquisición automática de mapas de electroluminiscencia de células solares en general y células solares multiunión de concentración como caso particular, para diferentes condiciones de polarización. Este sistema permitirá la adquisición de mapas de electroluminescencia de cada una de las sub-células de una célula multiunión. Las variaciones espaciales en la intensidad de electroluminescencia medida podrán ser analizadas y correlacionadas con defectos de distintos tipos en la estructura semiconductora o en los contactos metálicos que forman el dispositivo de célula solar. En la parte teórica se presenta el estado del arte referente a la caracterización de células solares basada en la técnica de electroluminiscencia, así como los antecedentes del Instituto de Energía Solar (IES) referidos a este tema. Para el desarrollo de la parte práctica ha sido necesario diseñar dos drivers en Labview. El primer driver controla una fuente-medidor, que inyecta corriente a la célula solar y recoge datos de la tensión asociada. El segundo driver se utiliza para controlar y automatizar el proceso de adquisición, mediante sensor CCD, de la imagen electroluminiscente de la célula solar sometida a unas condiciones de polarización determinadas. Estos drivers se incluyen dentro de la aplicación final desarrollada, que ofrece al usuario una interfaz para la aplicación de diferentes condiciones de polarización a la célula solar y la adquisición de los mapas de electroluminescencia. La utilización de este sistema es fundamental en los estudios de degradación de células solares que se llevan a cabo actualmente en el Instituto de Energía Solar. De hecho, en este Trabajo Fin de Máster se han realizado las primeras medidas al respecto, cuyos resultados se presentan en la parte final de esta memoria. SUMMARY. This Master Final Project develops a Labview application designed to perform the automatic acquisition of solar cell electroluminescence maps in general, and concentrator multijunction solar cells as a special case, under forward biased conditions. This system allows the acquisition of electroluminescence maps of each of the sub-cells in a multijunction cell. The spatial variations in the intensity of the electroluminescence measured can be analyzed and correlated with defects in the semiconductor structure or in the metal contacts of the solar cell. In the theory section of this memory, the state of the art of the electroluminescence-based characterization techniques for solar cells is presented, and the previous work carried out at I.E.S. is summarized. For the development of the practice part it has been necessary to design two drivers using Labview software. The first driver handles the source-meter injecting current in the solar cell and measuring voltage between its terminals. The second driver is used to handle and automate the acquisition of the solar cell electroluminescence image under forward biased conditions, using a CCD sensor. These drivers are included in the final application, which offers the user an interface to apply different bias conditions to the solar cell and for the acquisition of electroluminescence maps. The use of this system is essential in the studies of degradation of solar cells which is currently underway at the I.E.S. – U.P.M. In this Master Final Project the results of the first measurements are carried out which are presented in the final part of this memory.

Calibração radiométrica de instrumentação óptica espectrofotométrica

Os espectrómetros instalados a bordo de satélites e à superfície da Terra têm desempenhado um papel fundamental na compreensão da química e dinâmica da atmosfera e na monitorização da poluição ambiental. O SPATRAM (SPectrometer for Atmosferic TRAcers Measurements) é um espectrómetro ultravioleta – Visível que compreende a região espectral entre 250-950nm e se encontra instalado no Instituto de Ciências da Terra (ICT) desde Abril de 2004. Enquanto isso, em 2012, um novo modelo do instrumento SPATRAM foi desenvolvido no ICT e foi chamado SPATRAM2. O objectivo do trabalho proposto é a calibração radiométrica do espectrómetro SPATRAM2, utilizando uma lâmpada de halogéneo e uma esfera de integração. A calibração radiométrica do sistema SPATRAM2 permitirá obter a radiação solar directa, com alta resolução espectral, o que actualmente não se encontra disponível. Este tipo de medição poderá ter um papel importante na investigação e desenvolvimento na área da energia solar e aplicações; Radiometric Calibration of Spectrophotometric Optical Instrumentation Abstract: Spectrometers installed aboard satellites and located on Earth’s surface have played a fundamental role to understand atmosphere’s chemistry and dynamic and to monitor environmental pollution. The SPATRAM (SPectrometer for Atmosferic TRAcers Measurements) instrument is an ultraviolet spectrometer – visible that covers spectral region between 250-950nm and it is installed in Instituto de Ciências da Terra (Institute of Earth Sciencies), ICT, since April 2004. Meanwhile, in 2012, a new model of SPATRAM instrument was developed in ICT and was called SPATRAM2. The goal of this project is the radiometric calibration of the SPATRAM2 spectrometer using a halogen lamp and an integrating sphere. Radiometric calibration of SPATRAM2 system will provide direct solar radiation, with high spectral resolution, that is not available nowadays. This type of measurement may play an important role in solar energy’s progress and investigation.

Fiber Bragg grating sensor interrogation system using a CCD side detection method with Superimposed blazed gratings

We present, for the first time to our knowledge, experimental evidence showing that superimposed blazed fiber Bragg gratings may be fabricated and used to extend the dynamic range of a grating-based spectrometer. Blazed gratings of 4° and 8° were superimposed in germanosilicate fiber by ultraviolet inscription and used in conjunction with a coated charged-coupled device array to interrogate a wavelength-division-multiplexing sensor array. We show that the system can be used to monitor strain and temperature sensors simultaneously with an employable bandwidth which is extendable to 70 nm.

Displacement sensor using channelled spectrum dispersed on a linear CCD array

A novel form of low coherence interferometric sensor is described. The channelled spectrum produced by illuminating a sensing interferometer with a broadband source is analysed directly using a CCD array. The system currently provides unambiguous measurement over a range of 1.5 mm with an accuracy of better than 6 µm.

Displacement sensor using channelled spectrum dispersed on a linear CCD array

A novel form of low coherence interferometric sensor is described. The channelled spectrum produced by illuminating a sensing interferometer with a broadband source is analysed directly using a CCD array. The system currently provides unambiguous measurement over a range of 1.5 mm with an accuracy of better than 6 µm.

Fiber Bragg grating sensor interrogation system using a CCD side detection method with superimposed blazed gratings

We present, for the first time to our knowledge, experimental evidence showing that superimposed blazed fiber Bragg gratings may be fabricated and used to extend the dynamic range of a grating-based spectrometer. Blazed gratings of 4° and 8° were superimposed in germanosilicate fiber by ultraviolet inscription and used in conjunction with a coated charged-coupled device array to interrogate a wavelength-division-multiplexing sensor array. We show that the system can be used to monitor strain and temperature sensors simultaneously with an employable bandwidth which is extendedable to 70 nm.