Research ArticleOpen accessIn the abstractAUTOMATIC SEGMENTATION OF SKIN LESIONS USING HISTOGRAM THRESHOLDINGNidhal Khdhair El Abbadi, Abbas Hussien MiryAutomatic lesion segmentation is an important part of computer-based image analysis of pigmented skin lesions. Currently, there is a great interest in the development of Computer-Aided Diagnosis (CAD) systems for dermoscopic images. The segmentation step is one of the most important ones, since its accuracy determines the eventual success or failure of a CAD system. This study introduced new method … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 7,559 accessesView PDFCite
Research ArticleOpen accessIn the abstractLICENSE PLATE LOCALIZATION USING GABOR FILTERS AND NEURAL NETWORKSSami Ktata, Faouzi Benzarti, Hamid AmiriVehicle License Plate Detection (LPD) is an important step for the vehicle plate recognition which can be used in the intelligent transport systems. Many methods have been proposed for the detection of license plates based on: Mathematical morphology, Discrete Wavelet Transform, Hough Transform and others. In general, an LPR system includes four main parts: Vehicle image acquisition, license plate detection, … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,977 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet Transform Based Automatic Lesion Detection in Cervix Images Using Active ContourP. S. Rama Praba, H. RanganathanColposcopy is a medical diagnostic procedure to examine an illuminated, magnified view of the cervix by a colposcope. Most cases of cervical cancer can be prevented through screening programs aimed at detecting precancerous lesions. Colposcopy cervical images are acquired in raw form which contains major cervix lesions, regions outside the cervix and parts of the imaging devices such as speculum. … …Journal of Computer Science, Vol. 9, Issue 1 · 31 Jan 2013 · 7,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical ImagesN. Benamrane, A. Freville, R. NekkacheIn this study, we propose an approach to detect suspect zones or tumors in medical images. The idea is to define with precision the existence of different kinds of lesions using a hybrid system, which combines Fuzzy Neural Networks and Expert System. After applying a method of image segmentation to extract regions (by region growing algorithm or by mathematical morphology … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,873 accessesView PDFCite