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：2018
卷号：96
期号：16
出版社：Journal of Theoretical and Applied
摘要：Image segmentation is the method of dividing an image into many segments that comprise groups of pixels. In many real applications such as images segmentation there are issues such as limited spatial resolution, poor contrast, overlapping intensities, noise and intensity in homogeneities. The semi and fully automatic image segmentation are a difficult and complicated process due to several reasons such as the different appearance of intensity level, patterns of objects inside image, overlapping among different regions (segments), and partial volume effects (noise level). Fuzzy c-means (FCM) algorithm is the most popular method used in image segmentation due to its robust characteristics for ambiguity. Although, the conventional FCM algorithm suffer from some weaknesses such as initialize clusters center, determine the optimal number of clusters and sensitive to noise. This paper presents the review challenges of image segmentation based FCM algorithm and describe how solve these kinds of FCM problems.
