文章基本信息

标题：REVIEW OF REMOTE SENSING IMAGE SEGMENTATION TECHNIQUES
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作者：Harmanpreet Kaur
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：4
页码：1667-1674
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Image segmentation is an important tool in image processing and can serve as an efficient front end to sophisticated algorithms and thereb y simplify subsequent processing. Image segmentation by region merging follows a particular order in the choice of regions. The target of segmentation is always to simplify and/or change the representation of a graphic into something that is more meaningful and simpler to analyze. Image segmentation is normally used to locate objects and boundaries (lines, curves, etc.) in images. To improve segmentation accuracy and the correctness, this paper proposed a Dynamic Statistical Region Merging (DSRM) algorithm to find the auto matically select scale value. The purpose of this paper is to gather various segmentation techniques that can be used for the segmentation of remote sensing images (RSI). The paper provides good starting for researchers to find automatically select scale value using the combination of DSRM and fuzzy logic.
关键词：Image segmentation; Multi-scale segmentatio n; ; Remote sensing image segmentation; Dynamic ; statistical region merging; Region growing