Local Energy Information Combined with Improved Signed Distance Regularization Term for Image Target Segmentation Algorithm
Han Ming①② Liu Jiao-min② Meng Jun-ying① Wang Zhen-zhou③ Wang Jing-tao①
①(Department of Computer Science, Shijiazhuang University, Shijiazhuang 050035, China)
②(The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinghuangdao 066004, China)
③(School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China)
The uneven color image can not be segmented successfully with the traditional C-V model, and the C-V model is sensitive to the initial contour and the location. The existing signed distance regularization term has disadvantages, such as the periodic oscillation and the local extremum. This paper proposes the target segmentation algorithm, which combines the local energy information with improved signed distance regularization term. Firstly, the global image information can be expanded to the HSV space, and each pixels and its statistical properties are analyzed with the local energy information within the neighborhood, which can effectively realize the uneven distribution of color image segmentation in less iteration. Secondly, the improved signed distance regularization term avoids re-initialization of level set function, improving the computational efficiency, and maintains stability in the level set function evolution process. Finally, the termination criterion of threshold evaluation method for the level set function evolution is defined, in order to make the curve accurately evolution to the target contour. The experimental results show that the proposed algorithm has higher segmentation accuracy and robust than other similar models.
韩明,刘教民,孟军英,震洲,王敬涛. 结合局部能量与改进的符号距离正则项的图像目标分割算法[J]. 电子与信息学报, 2015, 37(9): 2047-2054.
Han Ming, Liu Jiao-min, Meng Jun-ying, Wang Zhen-zhou, Wang Jing-tao. Local Energy Information Combined with Improved Signed Distance Regularization Term for Image Target Segmentation Algorithm. JEIT, 2015, 37(9): 2047-2054.
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