期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：19
页码：3164-3171
出版社：Journal of Theoretical and Applied
摘要：The fitness function in Genetic algorithm (GA) based Fuzzy C-Means (FCM) and the morphological operations are widely used to extract tumour from MR medical image segmentation, but suffer uncertainty and vagueness in diagnosis. This paper, concentrates on the foremost and important method of segmentation. It is simple and produces a complete division of the image, when applied to medical image analysis, due to sensitivity to noise and poor detection of thin or low signal to noise ratio structure. The present approach helps to correct some drawbacks, on the initial stage of genetic algorithm and probability-based Fuzzy c-means which are close to the original brain images.
关键词：Image;Genetic Algorithm;Segmentation;Brain Image;Probability Based Fuzzy C-Means;Morphological Operations
