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Volume & Issue no: Volume 3, Issue 4, July - August 2014

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Title:
IMAGE SEGMENTATION IN VARIOUS DOMAINS USING TWO PHASE CLUSTERING APPROACH
Author Name:
Divya Sindhu, Surender Singh
Abstract:
Abstract K-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. However, its performance in terms of global optimality depends heavily on both the selection of k and the selection of the initial cluster centers. Mean Shift clustering algorithm does not rely upon a priori knowledge of the number of clusters. Therefore, mean-shift can be utilized in initial phase for finding number of clusters and k-means in second phase for proper segmentation. In this paper, the importance of twophase approach has been studied for images with non-uniform and noisy background like nano images, ultrasound images and Infrared images. Keywords: Image Segmentation, Clustering, K-Means, Mean Shift
Cite this article:
Divya Sindhu, Surender Singh , " IMAGE SEGMENTATION IN VARIOUS DOMAINS USING TWO PHASE CLUSTERING APPROACH " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 4, July - August 2014 , pp. 173-176 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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