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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

An Ant Colony — FCM hybrid algorithm is proposed for color image segmentation in this paper. First, edge detection is achieved by Canny Operator, then image pixels are clustered within two steps. In the first step, image pixels are clustered based on improved Ant Colony optimization in the RGB color space, with the cluster result initializing cluster centers and the center number for the Fuzzy C-Means algorithm in the second step. Experimental results show that the proposed algorithm has the advantage of overall optimization and can obtain relatively good segmentation results.

Abstract
Introduction
Image Segmentation Using Ant Colony Algorithm
Improved Image Segmentation Algorithm Based on ACO
Segmentation based on Ant Colony — FCM hybrid algorithm
Experimental Results
Conclusions
Acknowledgements
Reference
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