Title :
Competitive Learning Techniques for Color Image Segmentation
Author :
Mavrinac, Aaron ; Wu, Jonathan ; Chen, Xiang ; Tepe, Kemal
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;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.376
