By Topic

Obtaining the relevant colors of an image through stability-based fuzzy color histograms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Romani, S. ; Comput. Eng. & Math. Dept., Univ. Rovira i Virgily, Tarragona, Spain ; Sobrevilla, P. ; Montseny, E.

In a previous work, we introduced a fuzzy-based color image segmentation method for detecting the "relevant colors" of an image, founded on color histogram analysis. The present paper outlines the whole process and introduces the construction of a new fuzzy paradigm-based color histogram, which uses color components' stability degrees to modify a set of histogram positions according to the uncertainty of the pixel color components. The processing of such histogram provides a group of fuzzy sets that fit the number and domain of image's relevant colors better than the processing of the traditional color histogram. Moreover, the image segmentation results are more similar to the human visual perception of the scene.

Published in:

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on  (Volume:2 )

Date of Conference:

25-28 May 2003