Approach to Image Segmentation Based on Two-stage Search Adaptive Orthogonal Projective Decomposition
基于两阶段搜索自适应正交投影分解的图像分割方法

In this paper,a two-stage search fast algorithm for adaptive projective decomposition,which is used in image segmentation,is presented.In the proposed approach,the first stage is to find the approximate values of the mean and the standard deviation of the Gaussian element in image histogram.And the second stage is to search the exact mean value by 0.618 algorithm.Having the exact mean,some projection values are computed by projecting the histogram to some appropriate Gaussian basis functions,and then the standard deviation and the power can be estimated well based on the least-square curve fitting analysis.Finally,the optimal thresholds between different regions can be determined.The theoretical analysis and the comparison experiment show that the proposed approach is more efficient and effective.