International Journal of Emerging Trends in Engineering and Development Issue 6, Vol. 1 (January 2016) Available online on http://www.rspublication.com/ijeted/ijeted_index.htm ISSN 2249-6149
نویسنده
چکیده
Analyzing the retinal images is very helpful to diagnose the human eye diseases like Retinopathy and to interpret various problems in medical field. Retinal images quality is usually contaminated by noise and other illumination condition. In order to enhance the quality of retinal images focus should be made on contrast enhancement and noise removal. The best known technique for effective contrast enhancement is Unsharp masking technique. In this paper we will use Genetic Algorithm with multi-objective function for efficient retinal image enhancement. First the random chromosomes will be initialized using heuristic approaches and then perform adaptive crossover and mutation. Finally results are analyzed using performance measures. Keywords—Contrast Enhancement, Genetic Algorithm, Retinal Imaging, Unsharp Masking.
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