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.
Competitive Learning Techniques for Color Image Segmentation
2008 Congress on Image and Signal Processing ; 3 ; 644-649
2008-05-01
485839 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Texture Segmentation by Frequency-Sensitive Elliptical Competitive Learning
British Library Conference Proceedings | 1999
|Texture segmentation by frequency-sensitive elliptical competitive learning
British Library Online Contents | 2001
|Color image segmentation using Hopfield networks
British Library Online Contents | 1997
|Fractional Pyramids for Color Image Segmentation
British Library Conference Proceedings | 1996
|Color image segmentation using Laplacian eigenmaps
British Library Online Contents | 2009
|