文章基本信息

标题：A Review of Image Segmentation of Underwater Images Using Fuzzy C- Means Clustering
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作者：IJCTVikram Dwivedi ; Dr. Paresh Rawat
期刊名称：International Journal of Computer Techniques
电子版ISSN：2394-2231
出版年度：2016
卷号：3
期号：5
页码：1-5
语种：English
出版社：International Research Group - IRG
摘要：The underwater image segmentation is a challenging field of research due to poor illumination condition. Therefore this paper reviews the various issues and problems based on the existing researches in underwater segmentation field. Since underwater images have many uses in general purposes like in marine engineering, analysis and monitoring of underwater animals and plants and for monitoring of oil wells. Thus, underwater segmentation problem can be considered as fuzzy problem. Therefore this paper reviews the fuzzy clustering algorithm for image segmentation. Fuzzy C-Means clustering based underwater image segmentation methods separates the underwater objects using clustering and thresholding. It is found that fuzzy based approaches are not such efficient in underwater environment and thus not much explored. The efficiency of the fuzzy based methods various with different images and objects. Paper pointed out various challenges after reviewing the previous work. It is require improving the efficiency of the fuzzy based systems for segmenting the underwater images.