Abdelhafid Bessaid

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In this paper, a methodological approach to the classification of tumour skin lesions in dermoscopy images is presented. Melanomas are the most malignant skin tumours. They grow in melanocytes, the cells responsible for pigmentation. This type of cancer is increasing rapidly; its related mortality rate is increasing more modestly, and inversely proportional(More)
As the coming era is that of digitized medical information, an important challenge to deal with is the storage and transmission requirements of enormous data, including medical images. Compression is one of the indispensable techniques to solve this problem. In this work, we propose an algorithm for medical image compression based on a biorthogonal wavelet(More)
In the field of medical diagnostics, interested parties have resorted increasingly to medical imaging, it is well established that the accuracy and completeness of diagnosis are initially connected with the image quality, but the quality of the image is itself dependent on a number of factors including primarily the processing that an image must undergo to(More)
During the last years, computer vision-based diagnosis systems have been widely used in several hospitals and dermatology clinics, aiming at the early detection of malignant melanoma tumor, which is among the most frequent types of skin cancer. In this work, we present an automated diagnosis system based on the ABCD rule used in clinical diagnosis in order(More)
The near future of image processing techniques state the compatibility issues of applied algorithms with storage techniques and data transmission across noisy environment. Image compression is a vital element that is employed due to its characteristics of image size reduction without considerable data loss. This paper employs an SAR image compression(More)
In the field of medical diagnostics, interested parties have resorted increasingly to medical imaging. It is well established that the accuracy and completeness of diagnosis are initially connected with the image quality, but the quality of the image is itself dependent on a number of factors including primarily the processing that an image must undergo to(More)
The Quincunx wavelet , the lifting Scheme wavelet and the Second generation bandelet transform are a new method to offer an optimal representation for image geometric; we use this transform to study medical image compressed using the Quincunx transform coupled by SPIHT coder. We are interested in compressed medical image, In order to develop the compressed(More)
Mimoun MALKI Professeur, Université Djillali Liabes de Sidi-Bel-Abbes / président Abdelmalik TALEB-AHMED Professeur des universités, Université de Valenciennes / rapporteur Abdelhafid BESSAID Professeur, Université Aboubekr Belkaid de Tlemcen / rapporteur Kidiyo KPALMA Maître de conférences (HDR), INSA de Rennes / examinateur Nasreddine TALEB Professeur,(More)
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