用于目标检测的基于快速杂交拟合能量的主动轮廓模型
摘要
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.
引用本文（GB/T 7714）
Dengwei Wang, Tianxu Zhang, Luxin Yan. 用于目标检测的基于快速杂交拟合能量的主动轮廓模型[J]. Chinese Optics Letters, 2011.
引文网络
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