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  • 标题:A Review on Image Segmentation with its Clustering Techniques
  • 本地全文:下载
  • 作者:Priyansh Sharma ; Jenkin Suji
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:5
  • 页码:209-218
  • DOI:10.14257/ijsip.2016.9.5.18
  • 出版社:SERSC
  • 摘要:Segmentation refers to a technique in which an image in digital form is partitioned into multiple segments (basically groups of pixels, also termed as Super pixels). This paper is a survey on Image Segmentation with its clustering techniques. Image Segmentation is the procedure of apportioning a picture into numerous segments, to change the exemplification of a picture into another which is more useful and easy to segment. A few universally useful calculations and approaches have been developed for picture division. It separates a digital picture into numerous locales to investigate them. It is likewise used to recognize segment items in the picture. A few picture segmentation procedures have been developed by the specialists with a specific end goal to make pictures smooth and simple to access. This paper describes segmentation techniques, advantages and disadvantages of the clustering methods and a comparison of the techniques.
  • 关键词:Image segmentation; K-Means algorithm; Fuzzy C-Means algorithm; log – ; based clustering
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