Chinese Optics Letters, 2011, 9 (7): 071001, Published Online: May. 27, 2011
Fast hybrid fitting energy-based active contour model for target detection Download: 515次
杂交拟合能量 主动轮廓 水平集 加性算子分裂 目标检测. 100.5010 Pattern recognition 100.2960 Image analysis 100.2000 Digital image processing 100.3008 Image recognition, algorithms and filters
Abstract
A novel hybrid fitting energy-based active contour model in the level set framework is proposed. The method fuses the region and boundary information of the target to achieve accurate and robust detection performance. A special extra term that penalizes the deviation of the level set function from a signed distance function is also included in our method. This term allows the time-consuming redistancing operation to be removed completely. Moreover, a fast unconditionally stable numerical scheme is introduced to solve the problem. Experimental results on real infrared images show that our method can improve target detection performance efficiently in terms of the number of iterations and the wasted central processing unit (CPU) time.
Dengwei Wang, Tianxu Zhang, Luxin Yan. Fast hybrid fitting energy-based active contour model for target detection[J]. Chinese Optics Letters, 2011, 9(7): 071001.