Transactions on Machine Learning and Data Mining (ISSN: 1865-6781)
Volume 1 - Number 1 - July 2008 - Pages 31-46
Color Reduction using the Combination on the Kohonen Self-Organized Feature Map and the Gustafson Kessel Fuzzy Algorithm
K. Zagoris, N.Papamarkos1 and I. Koustoudis
1Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering Democritus University of Thrace, Greece
Abstract
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmission, it is preferable to have images with a limited number of colors. In this paper, a color clustering technique which is a combination of a Kohonen Self Organized Featured Map (KSOFM) and a fuzzy clustering algorithm is proposed. Initially, we reduce the number of image's colors by using a KSOFM. Then, using the KSOFM color clustering results as starting values, we obtain the final colors by a Gustafson-Kessel Fuzzy Classifier (GKFC). Doing this, we lead to better color classification results because the final color classes obtained are not spherical.
Download Paper
(1.191 KB)