A Survey on Clustering Based Image Segmentation  

Abstract

In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (Sets of pixels, also known as super pixels). This paper is a survey on various clustering techniques to achieve image segmentation. In order to increase the efficiency of the searching process, only a part of the database need to be searched. For this searching process clustering techniques can be recommended. Clustering can be termed here as a grouping of similar images in the database. Clustering is done based on different attributes of an image such as size, color, texture etc. The purpose of clustering is to get meaningful result, effective storage and fast retrieval in various areas.  

Authors and Affiliations

Mr. Santanu Bhowmik, , Mr. Viki Datta,

Keywords

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  • EP ID EP130967
  • DOI -
  • Views 81
  • Downloads 0

How To Cite

Mr. Santanu Bhowmik, , Mr. Viki Datta, (2012). A Survey on Clustering Based Image Segmentation  . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(5), 280-284. https://europub.co.uk/articles/-A-130967