Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest

In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support Vector Machines (SVM) with Radial Basis Function and SVM without kernel mapping. Results show accurate and fast segmented images, in which OPF outperformed SVMs. Our work is the first into applying OPF for automatic cast iron segmentation. © 2010 Springer-Verlag.

Image enhancement for digital radiography

Once in a digital form, a radiographic image may be processed in several ways in order to turn the visualization an act of improved diagnostic value. Practitioners should be aware that, depending on each clinical context, digital image processing techniques are available to help to unveil visual information that is, in fact, carried by the bare digital radiograph and may be otherwise neglected. The range of visual enhancement procedures includes simple techniques that deal with the usual brightness and contrast manipulation up to much more elaborate multi-scale processing that provides customized control over the emphasis given to the relevant finer anatomical details. This chapter is intended to give the reader a practical understanding of image enhancement techniques that might be helpful to improve the visual quality of the digital radiographs and thus to contribute to a more reliable and assertive reporting.

A Technique for Digital Color Image Watermarking Using ICA

With the increase of use of digital media the need for the methods of multimedia protection becomes extremely important. The number of the solutions to the problem from encryption to watermarking is large and is growing every year. In this work digital image watermarking is considered, specifically a novel method of digital watermarking of color and spectral images. An overview of existing methods watermarking of color and grayscale images is given in the paper. Methods using independent component analysis (ICA) for detection and the ones using discrete wavelet transform (DWT) and discrete cosine transform (DCT) are considered in more detail. A novel method of watermarking proposed in this paper allows embedding of a color or spectral watermark image into color or spectral image consequently and successful extraction of the watermark out of the resultant watermarked image. A number of experiments have been performed on the quality of extraction depending on the parameters of the embedding procedure. Another set of experiments included the test of the robustness of the algorithm proposed. Three techniques have been chosen for that purpose: median filter, low-pass filter (LPF) and discrete cosine transform (DCT), which are a part of a widely known StirMark - Image Watermarking Robustness Test. The study shows that the proposed watermarking technique is fragile, i.e. watermark is altered by simple image processing operations. Moreover, we have found that the contents of the image to be watermarked do not affect the quality of the extraction. Mixing coefficients, that determine the amount of the key and watermark image in the result, should not exceed 1% of the original. The algorithm proposed has proven to be successful in the task of watermark embedding and extraction.

Análise comparativa entre o sistema digital Digora e a digitalização da radiografia convencional na avaliação da densidade radiográfica do processo de reparo alveolar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

AVALIAÇÃO DA COMPRESSÃO DA IMAGEM DIGITAL DA TELERRADIOGRAFIA LATERAL NA REPRODUTIBILIDADE DA MARCAÇÃO DE PONTOS CEFALOMÉTRICOS

A imagem digital adquirida pelo sistema da placa de fósforo foto ativada é visualizada no monitor do computador em um formato denominado DICOM. Este formato ocupa muito espaço para armazenamento, o que dificulta o arquivamento e transmissão da imagem pela Internet. O objetivo deste estudo foi avaliar a influência da compressão JPEG, nos Fatores de Qualidade 100, 80 e 60 na reprodutibilidade da marcação de pontos cefalométricos em imagens de telerradiografias em norma lateral comparadas com o formato DICOM. A amostra consistiu de 120 imagens de telerradiografias em norma lateral obtidas a partir de 30 indivíduos, dos quais se obteve uma radiografia digital no formato DICOM. Essas imagens foram convertidas para o formato JPEG. Após o cegamento e randomização da amostra, três Ortodontistas calibrados marcaram a localização de 12 pontos cefalométricos em cada imagem utilizando o sistema de coordenadas X e Y. Esse procedimento foi repetido após 1 mês. A reprodutibilidade intra e inter observador foi calculada usando o teste de correlação intraclasse. Para comparação entre os grupos de compressão e DICOM na reprodutibilidade de marcação dos pontos utilizou se a Análise de Variância (ANOVA) a um critério para medidas repetidas. Os resultados mostraram que as marcações dos pontos cefalométricos foram bastante reprodutíveis, exceto para o ponto Órbita na coordenada X. Os diferentes formatos de arquivo mostraram estatisticamente iguais para cada ponto e eixo aferido. As compressões JPEG estudadas das imagens de telerradiografias em norma lateral não tiveram efeito na reprodutibilidade da marcação dos pontos cefalométricos testados.

AVALIAÇÃO DA COMPRESSÃO DA IMAGEM DIGITAL DA TELERRADIOGRAFIA LATERAL NA REPRODUTIBILIDADE DA MARCAÇÃO DE PONTOS CEFALOMÉTRICOS

A imagem digital adquirida pelo sistema da placa de fósforo foto ativada é visualizada no monitor do computador em um formato denominado DICOM. Este formato ocupa muito espaço para armazenamento, o que dificulta o arquivamento e transmissão da imagem pela Internet. O objetivo deste estudo foi avaliar a influência da compressão JPEG, nos Fatores de Qualidade 100, 80 e 60 na reprodutibilidade da marcação de pontos cefalométricos em imagens de telerradiografias em norma lateral comparadas com o formato DICOM. A amostra consistiu de 120 imagens de telerradiografias em norma lateral obtidas a partir de 30 indivíduos, dos quais se obteve uma radiografia digital no formato DICOM. Essas imagens foram convertidas para o formato JPEG. Após o cegamento e randomização da amostra, três Ortodontistas calibrados marcaram a localização de 12 pontos cefalométricos em cada imagem utilizando o sistema de coordenadas X e Y. Esse procedimento foi repetido após 1 mês. A reprodutibilidade intra e inter observador foi calculada usando o teste de correlação intraclasse. Para comparação entre os grupos de compressão e DICOM na reprodutibilidade de marcação dos pontos utilizou se a Análise de Variância (ANOVA) a um critério para medidas repetidas. Os resultados mostraram que as marcações dos pontos cefalométricos foram bastante reprodutíveis, exceto para o ponto Órbita na coordenada X. Os diferentes formatos de arquivo mostraram estatisticamente iguais para cada ponto e eixo aferido. As compressões JPEG estudadas das imagens de telerradiografias em norma lateral não tiveram efeito na reprodutibilidade da marcação dos pontos cefalométricos testados.

AVALIAÇÃO DA COMPRESSÃO DA IMAGEM DIGITAL DA TELERRADIOGRAFIA LATERAL NA REPRODUTIBILIDADE DA MARCAÇÃO DE PONTOS CEFALOMÉTRICOS

A imagem digital adquirida pelo sistema da placa de fósforo foto ativada é visualizada no monitor do computador em um formato denominado DICOM. Este formato ocupa muito espaço para armazenamento, o que dificulta o arquivamento e transmissão da imagem pela Internet. O objetivo deste estudo foi avaliar a influência da compressão JPEG, nos Fatores de Qualidade 100, 80 e 60 na reprodutibilidade da marcação de pontos cefalométricos em imagens de telerradiografias em norma lateral comparadas com o formato DICOM. A amostra consistiu de 120 imagens de telerradiografias em norma lateral obtidas a partir de 30 indivíduos, dos quais se obteve uma radiografia digital no formato DICOM. Essas imagens foram convertidas para o formato JPEG. Após o cegamento e randomização da amostra, três Ortodontistas calibrados marcaram a localização de 12 pontos cefalométricos em cada imagem utilizando o sistema de coordenadas X e Y. Esse procedimento foi repetido após 1 mês. A reprodutibilidade intra e inter observador foi calculada usando o teste de correlação intraclasse. Para comparação entre os grupos de compressão e DICOM na reprodutibilidade de marcação dos pontos utilizou se a Análise de Variância (ANOVA) a um critério para medidas repetidas. Os resultados mostraram que as marcações dos pontos cefalométricos foram bastante reprodutíveis, exceto para o ponto Órbita na coordenada X. Os diferentes formatos de arquivo mostraram estatisticamente iguais para cada ponto e eixo aferido. As compressões JPEG estudadas das imagens de telerradiografias em norma lateral não tiveram efeito na reprodutibilidade da marcação dos pontos cefalométricos testados.

Applications of fractals to image data compression

Digital image processing is exploited in many diverse applications but the size of digital images places excessive demands on current storage and transmission technology. Image data compression is required to permit further use of digital image processing. Conventional image compression techniques based on statistical analysis have reached a saturation level so it is necessary to explore more radical methods. This thesis is concerned with novel methods, based on the use of fractals, for achieving significant compression of image data within reasonable processing time without introducing excessive distortion. Images are modelled as fractal data and this model is exploited directly by compression schemes. The validity of this is demonstrated by showing that the fractal complexity measure of fractal dimension is an excellent predictor of image compressibility. A method of fractal waveform coding is developed which has low computational demands and performs better than conventional waveform coding methods such as PCM and DPCM. Fractal techniques based on the use of space-filling curves are developed as a mechanism for hierarchical application of conventional techniques. Two particular applications are highlighted: the re-ordering of data during image scanning and the mapping of multi-dimensional data to one dimension. It is shown that there are many possible space-filling curves which may be used to scan images and that selection of an optimum curve leads to significantly improved data compression. The multi-dimensional mapping property of space-filling curves is used to speed up substantially the lookup process in vector quantisation. Iterated function systems are compared with vector quantisers and the computational complexity or iterated function system encoding is also reduced by using the efficient matching algcnithms identified for vector quantisers.

Task-based annotation and retrieval for image information management

Continuing advances in digital image capture and storage are resulting in a proliferation of imagery and associated problems of information overload in image domains. In this work we present a framework that supports image management using an interactive approach that captures and reuses task-based contextual information. Our framework models the relationship between images and domain tasks they support by monitoring the interactive manipulation and annotation of task-relevant imagery. During image analysis, interactions are captured and a task context is dynamically constructed so that human expertise, proficiency and knowledge can be leveraged to support other users in carrying out similar domain tasks using case-based reasoning techniques. In this article we present our framework for capturing task context and describe how we have implemented the framework as two image retrieval applications in the geo-spatial and medical domains. We present an evaluation that tests the efficiency of our algorithms for retrieving image context information and the effectiveness of the framework for carrying out goal-directed image tasks. © 2010 Springer Science+Business Media, LLC.

Digital Preservation and Web Access to the Konkoly Observatory Schmidt Telescope Plate Archive

ACM Computing Classification System (1998): J.2.

Digital surveillance based on video CODEC System-on-a-Chip (SoC) platforms

Today, most conventional surveillance networks are based on analog system, which has a lot of constraints like manpower and high-bandwidth requirements. It becomes the barrier for today's surveillance network development. This dissertation describes a digital surveillance network architecture based on the H.264 coding/decoding (CODEC) System-on-a-Chip (SoC) platform. The proposed digital surveillance network architecture includes three major layers: software layer, hardware layer, and the network layer. The following outlines the contributions to the proposed digital surveillance network architecture. (1) We implement an object recognition system and an object categorization system on the software layer by applying several Digital Image Processing (DIP) algorithms. (2) For better compression ratio and higher video quality transfer, we implement two new modules on the hardware layer of the H.264 CODEC core, i.e., the background elimination module and the Directional Discrete Cosine Transform (DDCT) module. (3) Furthermore, we introduce a Digital Signal Processor (DSP) sub-system on the main bus of H.264 SoC platforms as the major hardware support system for our software architecture. Thus we combine the software and hardware platforms to be an intelligent surveillance node. Lab results show that the proposed surveillance node can dramatically save the network resources like bandwidth and storage capacity.

Avaliação de técnicas de classificação digital de imagens landsat em diferentes padrões de cobertura da terra em Rondônia

Remotely sensed imagery has been widely used for land use/cover classification thanks to the periodic data acquisition and the widespread use of digital image processing systems offering a wide range of classification algorithms. The aim of this work was to evaluate some of the most commonly used supervised and unsupervised classification algorithms under different landscape patterns found in Rondônia, including (1) areas of mid-size farms, (2) fish-bone settlements and (3) a gradient of forest and Cerrado (Brazilian savannah). Comparison with a reference map based on the kappa statistics resulted in good to superior indicators (best results - K-means: k=0.68; k=0.77; k=0.64 and MaxVer: k=0.71; k=0.89; k=0.70 respectively for three areas mentioned). Results show that choosing a specific algorithm requires to take into account both its capacity to discriminate among various spectral signatures under different landscape patterns as well as a cost/benefit analysis considering the different steps performed by the operator performing a land cover/use map. it is suggested that a more systematic assessment of several options of implementation of a specific project is needed prior to beginning a land use/cover mapping job.

Image quality in diagnostic radiology

This chapter provides a theoretical background about image quality in diagnostic radiology. Digital image representation and also image quality evaluation methods are here discussed. An overview of methods for quality evaluation of diagnostic imaging procedures is provided. Digital image representation and primary physical image quality parameters are also discussed, including objective image quality measurements and observer performance methods.

Image upsampling algorithms applied on Nuclear Medicine: comparision of hqnx and nxSaI algorithms families with two interpolation algorithms - nearest neighbour and bicubic interpolation

Introduction: Image resizing is a normal feature incorporated into the Nuclear Medicine digital imaging. Upsampling is done by manufacturers to adequately fit more the acquired images on the display screen and it is applied when there is a need to increase - or decrease - the total number of pixels. This paper pretends to compare the “hqnx” and the “nxSaI” magnification algorithms with two interpolation algorithms – “nearest neighbor” and “bicubic interpolation” – in the image upsampling operations. Material and Methods: Three distinct Nuclear Medicine images were enlarged 2 and 4 times with the different digital image resizing algorithms (nearest neighbor, bicubic interpolation nxSaI and hqnx). To evaluate the pixel’s changes between the different output images, 3D whole image plot profiles and surface plots were used as an addition to the visual approach in the 4x upsampled images. Results: In the 2x enlarged images the visual differences were not so noteworthy. Although, it was clearly noticed that bicubic interpolation presented the best results. In the 4x enlarged images the differences were significant, with the bicubic interpolated images presenting the best results. Hqnx resized images presented better quality than 4xSaI and nearest neighbor interpolated images, however, its intense “halo effect” affects greatly the definition and boundaries of the image contents. Conclusion: The hqnx and the nxSaI algorithms were designed for images with clear edges and so its use in Nuclear Medicine images is obviously inadequate. Bicubic interpolation seems, from the algorithms studied, the most suitable and its each day wider applications seem to show it, being assumed as a multi-image type efficient algorithm.

Advanced image processing techniques for detection and quantification of drusen

Dissertation presented to obtain the degree of Doctor of Philosophy in Electrical Engineering, speciality on Perceptional Systems, by the Universidade Nova de Lisboa, Faculty of Sciences and Technology