A novel color image segmentation method based on improved region growing

Authors:
Jun Liu;Yan Ma;Kun Chen;Shun-bao Li
Affiliations:
Department of Information Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China;Department of Information Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China;Department of Information Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China;Department of Mathematic & Science, Shanghai Normal University, Shanghai, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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Abstract

This paper proposes an improved color image segmentation method based on improved region growing. Firstly, the color image is transformed from RGB to YCbCr color space. Then, seed points are selected automatically and region growing algorithm has been employed for image segmentation under predefined three criterions. Finally, region merging algorithm has been proposed. Smller regions are merged first and larger regions are merged lately. Extensive experiments have been carried out on the random images from the internet by using the proposed algorithm and the results show its effectiveness.