NDLI: Sigma filter based unsupervised color image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Chung Hui Kuo Tewfik, A.H.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA (Chung Hui Kuo)
Abstract	In this paper, we present an unsupervised color image segmentation algorithm. By first processing a color image via the proposed color sigma filter, pixels within the same semantic region become more concentrated around their centroid in the perceptual color coordinate system. A k-mean algorithm is then designed to automatically differentiate the image into non-overlapping semantic objects. Because of the periodicity in the hue component, we apply two manifolds to completely cover the hue vector, and fuse distinguished regions from both manifolds to obtain the final image segmentation. The computational complexity of our algorithm is O(N), where N is the total number of pixels, and no priori information is assumed. We provide examples to illustrate the performance of our procedure.
Starting Page	2235
Ending Page	2238
File Size	413587
Page Count	4
File Format	PDF
ISBN	0780362934
ISSN	15206149
DOI	10.1109/ICASSP.2000.859283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-05
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Color Image segmentation Algorithm design and analysis Pixel Computational complexity Clustering algorithms Concurrent computing Fuses Image processing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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