Computer Science – Artificial Intelligence
Scientific paper
2004-12-17
RecPad 2000 - 11th Portuguese Conf. on Pattern Recognition, in Aurelio C. Campilho and A.M. Mendonca (Eds.), ISBN 972-96883-2-
Computer Science
Artificial Intelligence
5 pages, 1 figure, Author at http://alfa.ist.utl.pt/~cvrm/staff/vramos/ref_26.html
Scientific paper
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum number of segmentation areas in an image when it contains similar and/or unstationary texture fields. In this work, a method is described for evolving adaptive procedures for these problems. In many real world applications data clustering constitutes a fundamental issue whenever behavioural or feature domains can be mapped into topological domains. We formulate the segmentation problem upon such images as an optimisation problem and adopt evolutionary strategy of Genetic Algorithms for the clustering of small regions in colour feature space. The present approach uses k-Means unsupervised clustering methods into Genetic Algorithms, namely for guiding this last Evolutionary Algorithm in his search for finding the optimal or sub-optimal data partition, task that as we know, requires a non-trivial search because of its intrinsic NP-complete nature. To solve this task, the appropriate genetic coding is also discussed, since this is a key aspect in the implementation. Our purpose is to demonstrate the efficiency of Genetic Algorithms to automatic and unsupervised texture segmentation. Some examples in Colour Maps, Ornamental Stones and in Human Skin Mark segmentation are presented and overall results discussed. KEYWORDS: Genetic Algorithms, Colour Image Segmentation, Classification, Clustering.
Muge Fernando
Ramos Vitorino
No associations
LandOfFree
Image Colour Segmentation by Genetic Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Image Colour Segmentation by Genetic Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image Colour Segmentation by Genetic Algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-159219