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An Evolutionary Dynamic Clustering based Colour Image Segmentation
Amiya Halder, Nilvra Pathak
Pages - 549 - 556 | Revised - 31-01-2011 | Published - 08-02-2011
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Segmentation, Clustering, Genetic Algorithm, Clustering Metric, Validity Index
ABSTRACT
We have presented a novel Dynamic Colour Image Segmentation (DCIS) System for colour image. In this paper, we have proposed an efficient colour image segmentation algorithm based on evolutionary approach i.e. dynamic GA based clustering (GADCIS). The proposed technique automatically determines the optimum number of clusters for colour images. The optimal number of clusters is obtained by using cluster validity criterion with the help of Gaussian distribution. The advantage of this method is that no a priori knowledge is required to segment the color image. The proposed algorithm is evaluated on well known natural images and its performance is compared to other clustering techniques. Experimental results show the performance of the proposed algorithm producing comparable segmentation results.
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Associate Professor Amiya Halder
- India
amiya_halder@indiatimes.com
Mr. Nilvra Pathak
- India
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