Image analysis, de-noising, segmentation, feature extraction and classification form very important research topics of image processing. The paper is devoted to the rotation and translation invariant image transforms analysis and their use for image enhancement and features extraction. A special attention is paid to the two-dimensional Radon and wavelet transforms forming fundamental mathematic...

Il s'agit du cas d'une patiente âgée de 52 ans, aux antécédents de lupus érythémateux systémique(LES) évoluant depuis 1997, actuellement sous Nivaquine (APS) à la dose de 2 comprimés par jour, adressé pour baisse de la vision bilatérale. L'examen de l'oeil droit trouve une vision corrigée à 1/10, un segment antérieur d'aspect normal et au fond d'oeil une maculopathie en cocarde (A). L'examen de...

background: this study set out to evaluate the utility of cerebrovascular virtual non-contrast (vnc) scans. materials and methods: conventional non-contrast (cnc) and dual-energy computed tomography angiography (de-cta) head scans were conducted on 100 subjects, of which 46 were normal, 15 had parenchymal hematomas of the brain, 13 had ischemic infarction, 22 had tumors, and 4 had calcified les...

Content-Based Image Retrieval Systems are now commonly used as a ltering mechanism against the piracy of multimedia contents. Many publications in the last few years have proposed very robust schemes where pirated contents are detected despite severe modi cations. But none of these systems have addressed the piracy problem from a security perspective. It is now time to check whether they are se...

In this research report we present a new model for texture representation which is particularly well suited for image analysis and segmentation. Any image is first discretized and then a hierarchical finite-state region-based model is automatically coupled with the data by means of a sequential optimization scheme, namely the Texture Fragmentation and Reconstruction (TFR) algorithm. The TFR alg...

In this paper we present a skeletonization algorithm based on contour peeling. This algorithm can be applied on 2-D as well as on 3-D images. The 2-D algorithm is a new formulation of Pavlidis' algorithm, avoiding the explicit contour tracking, and is based on local computations only. The new thinning operator can be applied on all the image points in parallel. R esum e Dans ce papier nous pr e...

to investigate the effect of preprocessing techniques including contrast enhancement and illumination correction on retinal imagequality, a comparative study was carried out. we studied and implemented a few illumination correction and contrast enhancementtechniques on color retinal images to find out the best technique for optimum image enhancement. to compare and choose thebest illumination c...

The objective of this study was to create and evaluate a routine (macro) using Image-Pro Plus 4.5 software (Media Cybernetics, Silver Spring, USA) for automatic counting of labeled nuclei by proliferating cell nuclear antigen (PCNA) immunohistochemistry. A total of 154 digital color images were obtained from eleven sections of reticular oral lichen planus stained by PCNA immunohistochemistry. M...

Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use several different kernel-based machine learning techniques to classify proteins in 2-DE images into spot and noise. We evaluate the classification accuracy of each of these techniques with prote...