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 effectiveness of choices for various applications. A variety of settings are tested and compared to highlight performance. © 2008 IEEE.
Cite
CITATION STYLE
Mavrinac, A., Wu, J., Tepe, K., & Chen, X. (2008). Competitive learning techniques for color image segmentation. In Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008 (Vol. 3, pp. 644–649). https://doi.org/10.1109/CISP.2008.376
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
