Volume : II, Issue : I, January - 2013

Survey on Image Segmentation Using Different K–Mean Algorithms

Miki K. Patel, Mitula H. Pandya

Abstract :

Image segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Data clustering is a technique of data mining in which, the information which is logically similar is physically stored together. This paper presents the survey on image segmentation. For that the different k-mean clustering algorithms are described. The adaptive and pillar k-mean algorithms are found more efficient as those improve the segmentation quality in aspects of precision and execution time.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Miki K. Patel,Mitula H. Pandya Survey on Image Segmentation Using Different K-Mean Algorithms International Journal of Scientific Research, Vol.II, Issue.I January 2013

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