文章基本信息

标题：A Survey of Segmentation of Colored Images based on Impressive Algorithms
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作者：Rohan Raju Taksande ; Sanjay Kumar Kinge ; Dr. B. Sheela Rani 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：9
页码：19114
DOI：10.15680/IJIRSET.2017.0609200
出版社：S&S Publications
摘要：Image Segmentation is a very important aspect of perception and it still a very thought provokingsubject for machine and computer perception. Studies in computer vision proves that the segmenting an image intovarious understandable regions for subsequent post processing (e.g., scene understanding, pattern recognition) is anambitious task. This paper discusses the major colour image segmentation approaches. Then we review variousalgorithms with their advantages and disadvantages which try to increase class distinguishability. We are using theBerkeley Segmentation dataset BSD300 for segmentation which contains natural colour images. Lastly summarize theimage segmentation methods, developed to integrate more feature information with high accuracy.
关键词：image segmentation; computer perception; scene understanding; pattern recognition; etc.