Journal
PATTERN RECOGNITION
Volume 35, Issue 8, Pages 1785-1791Publisher
ELSEVIER SCI LTD
DOI: 10.1016/S0031-3203(01)00170-4
Keywords
color quantization; fuzzy membership function; human visual system
Ask authors/readers for more resources
In this paper, we review a number of techniques for fuzzy color quantization. We show that the fuzzy membership paradigm is particularly suited to color quantization. where color cluster boundaries are not well defined. We propose a new fuzzy color quantization technique which incorporates a term for partition index. This algorithm produces better results than fuzzy C-means at a reduced computational cost. We test the results of the fuzzy algorithms using quality metrics which model the perception of the human Visual system and illustrate that substantial quality improvements are achieved. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available