1.College of Information Science and Engineering, Northeastern University, Shenyang 110819 2.School of Electrical Engineering & Automation, Jiangsu Normal University, Xuzhou 221116 3.College of Physical Science and Technology, Anshan Normal University, Anshan 114005
Abstract：It is difficult to get the real boundary of the object with poor boundary using the classical geodesic active contours. To deal with this problem, the local binary fitting(LBF) method and geodesic active contour are combined to propose a geodesic active contour based on LBF method in this paper. Firstly, the energy function of LBF method is normalized to replace the edge stopping function of geodesic active contour. Then, a gradient descent flow is established to urge an active contour to move at the boundary of the object. Finally, simulation experiments are implemented on 5 images with poor boundaries. Experimental results show the proposed model segment objects with poor edge correctly with anti-noise ability and it is insensitive to positions of the initial curve. The proposed model is superior to other improved geodesic active contours.
潘改，高立群，张萍. 基于LBF方法的测地线活动轮廓模型[J]. 模式识别与人工智能, 2013, 26(12): 1179-1181.
PAN Gai , GAO Li-Qun, ZHANG Ping. Geodesic Active Contour Based on LBF Method. , 2013, 26(12): 1179-1181.
2013, Vol. 26 
