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The Scientific World Journal
Volume 2014, Article ID 307416, 13 pages
Research Article

Narrow Band Region-Based Active Contours Model for Noisy Color Image Segmentation

School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China

Received 23 April 2014; Revised 16 June 2014; Accepted 24 June 2014; Published 10 July 2014

Academic Editor: Cristiana Corsi

Copyright © 2014 Xiaomin Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A narrow band active contour model for color image segmentation is proposed, which applies local statistics to improve the robustness against noise. The crux of our approach is to use intensity mean of local region to define the force function within a level set framework, within which a narrow band is implemented to further improve the computational efficiency. In addition, the image is segmented from channel-to-channel, which shows superior performance when the intensities of the object and background are similar. Furthermore, a multichannel segmentation combination method is used to integrate the information of multiple level sets. The proposed model has been applied to both synthetic and real images with expected results, and the comparison with the state-of-the-art approaches demonstrates the accuracy and superiority of our approach.