ANALYSIS OF IMAGE SEGMENTATION TECHNIQUES IN IMAGE PROCESSING

Praveena Kiruba bai, Dr. G. Arumugam

Abstract


 Image segmentation plays a very important role for many image video and computer vision applications. It is quite a relevant research area due to its wide usage in the field of medical, remote sensing and image retrieval. Image segmentation is used to identifying the objects as well as boundaries in the images. Based on the image feature image segmentation clusters or classifies the image into different parts. There are several algorithms proposed for segmenting an image prior to its recognition. This paper highlights the strength and a limitation of classification techniques applied to texture classification and reviews various algorithms like active contour model, fuzzy C means, fuzzy K means algorithm etc used in the segmentation process.


Keywords


Segmentation, Classification, Compression, fuzzy C means, fuzzy K means

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References


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DOI: https://doi.org/10.26483/ijarcs.v9i3.6089

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