Praveena Kiruba bai, Dr. G. Arumugam


 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.


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

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Nguyen Thi Nhat Anh, Jianfei Cai, Juyong Zhang, Jianmin Zheng, Constrained Active Contours for Boundary Refinement in Interactive Image Segmentation, IEEE, 20 August 2012, Circuits and Systems (ISCAS), 2012 IEEE International Symposium.

Boying Wu and Yunyun Yang, Local- and Global-Statistics-Based Active Contour Model for Image Segmentation, Accepted 24 January 2012

Khang SiangTan,NorAshidiMatIsa, Color image segmentation using histogram thresholding – Fuzzy C-means hybrid approach, Pattern Recognition 44 (2011) 1–15,

Hongbao Cao1 and Yu-Ping Wang1,2,, Segmentation of M-Fish Images for Improved Classification of Chromosomes with an Adaptive Fuzzy C-Means Clustering Algorithm,IEEE, 2011

Siti Noraini Sulaiman and Nor Ashidi Mat Isa, Adaptive Fuzzy-K-means Clustering Algorithm for Image Segmentation, IEEE Transactions on Consumer Electronics ( Volume: 56, Issue: 4, November 2010 )

Laurent Galluccio a,c, OlivierMichel b, PierreComon , AlfredO.HeroIIId, Graph based k-means clustering, Signal Processing 92 (2012) 1970–1984

Maoguo Gong, Member, IEEE, Yan Liang, Jiao Shi, Wenping Ma, and Jingjing Ma, Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation, IEEE Transactions on Image Processing, VOL. 22, NO. 2, February 2013.

Intan Aidha Yusoff, Nor Ashidi Mat Isa and Khairunnisa Hasikin, Automated two-dimensional K-means clustering algorithm for unsupervised image segmentation, Computers and Electrical Engineering ,Volume 39 Issue3,April,2013

Hossein Mobahi • Shankar R. Rao • Allen Y. Yang •Shankar S. Sastry Yi Ma, Segmentation of Natural Images by Texture and Boundary Compression, Computer Vision and Pattern Recognition, 18 Jun 2010

Masoom Jain,Mohammed G Vayada, Non-cognitive Color and Texture Based Image Segmentation Amalgamation with Evidence Theory of crop images, IEEE, International Conference on Sensing, Signal Processing and Security,2017



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