DocumentCode
2154744
Title
Competitive Learning Techniques for Color Image Segmentation
Author
Mavrinac, Aaron ; Wu, Jonathan ; Chen, Xiang ; Tepe, Kemal
Volume
3
fYear
2008
fDate
27-30 May 2008
Firstpage
644
Lastpage
649
Abstract
A method for color image segmentation using a competitive learning clustering scheme is examined, and some basic improvements are made. Two important aspects of the color image segmentation problem, namely color space selection and oversegmentation, are discussed in the context of the algorithm, with comments about suitability and effectivenessof choices for various applications. A variety of settings are tested and compared to highlight performance.
Keywords
Clustering algorithms; Color; Euclidean distance; Image processing; Image recognition; Image segmentation; Pixel; Signal processing; Signal processing algorithms; Testing; color; color space; competitive learning; oversegmentation; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.376
Filename
4566562
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