• Chinese Optics Letters
  • Vol. 9, Issue 7, 071001 (2011)
Dengwei Wang, Tianxu Zhang, and Luxin Yan
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
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    DOI: 10.3788/COL201109.071001 Cite this Article Set citation alerts
    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 Copy Citation Text show less

    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
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