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

Author Affiliations
State Key Laboratory for Multispectral Information Processing Technologies, Institute for Pattern Recognition and Artif icial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
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.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!