Weighted improvement method based on local gray-level model of active shape model
HAN Yu-feng1,2,WANG Xiao-lin1
1. School of Computer Science, Anhui University of Technology, Ma’anshan Anhui 243002,China 2. School of Mathematics and Physics, Anhui University of Technology, Ma’anshan Anhui 243002,China
Abstract：In the searching of ASM algorithm for target point, only surrounding local gray-level information of fixed point is adopted. Then, two points is often confused, which have both similar gray-level and widely different texture details. Consequently, the accuracy of positioning is not ensured. The paper suggests that the real feature point probability of bilateral candidate points in the normal direction decreases in turn, so Gaussian distribution is brought in to represent the probability. Thus, better candidate points in the target image can be searched and the accuracy of positioning is improved.
韩玉峰 王小林. 基于主动形状模型算法的局部灰度模型的加权改进方法[J]. 计算机应用, 2011, 31(12): 3392-3394.
HAN Yu-feng WANG Xiao-lin. Weighted improvement method based on local gray-level model of active shape model. Journal of Computer Applications, 2011, 31(12): 3392-3394.
2011, Vol. 31 
