Kamila Khemis

Work place: Biomedical Engineering laboratory, Tlemcen University, 13000, Algeria

E-mail: khemisk@yahoo.fr

Website:

Research Interests: Image Compression, Image Manipulation, Image Processing, Medical Image Computing

Biography

Kamila KHEMIS was born in Tlemcen, Algeria in 1971. She obtained the Engineer degree in Electronics from university of Tlemcen in 1993 and then the DEA in automatic from Nanthe (France) in 1994. She obtained PhD degree from INPL (France) in 1998 then DIUE in medical lasers.

Author Articles
New Algorithm for Fractal Dimension Estimation based on Texture Measurements: Application on Breast Tissue Characterization

By Kamila Khemis Sihem A. Lazzouni Mahammed Messadi Salim Loudjedi Bessaid Abdelhafid

DOI: https://doi.org/10.5815/ijigsp.2016.04.02, Pub. Date: 8 Apr. 2016

Fractal analysis is currently in full swing in particular in the medical field because of the fractal nature of natural phenomena (vascular system, nervous system, bones, breast tissue ...). For this, many algorithms for estimating the fractal dimension have emerged. Most of them are based on the principle of box counting. In this work we propose a new method for calculating fractal attributes based on contrast homogeneity and energy that have been extracted from gray level co-occurrence matrix. As application we are investigated in the characterization and classification of mammographic images with SuportVectorMachine classifier. We considered in particular images with tumor masses and architectural disorder to compare with normal ones. We calculate, for comparison the fractal dimension obtained by a reference method (triangular prism) and perform a classification similar to the previous. Results obtained with new algorithm are better than reference method (classification rate is 0.91 vs 0.65). Hence new fractal attributes are relevant. 

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