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MLDM
2007
Springer

Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm

13 years 11 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
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.
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MLDM
Authors Konstantinos Zagoris, Nikos Papamarkos, Ioannis Koustoudis
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