一维Renyi熵阈值法中参数的自适应选取

提出了一种自适应选取一维Renyi熵阈值分割法中参数α的方法.该方法以一种图像分割质量评价指标 均匀性测度为适应度函数，利用粒子群算法在参数空间进行优化搜索，从而可以根据具体的图像获得合适的参数，得到最佳的图像分割阈值.结果表明：一般情况下，可以（0,1）范围内搜索最优的α值|当需要更好的分割效果时，可在（0,10）范围内搜索最优的α值.

Self Adaptation Preferences in One dimensional RenyiEntropy Thresholding

A self adaptive parameter selection algorithm for  α in one dimensional Renyi entropy image thresholding method is presented.The method can get the suitable parameter and the optimal threshold value according to the practical images,which selects the uniformity measure,an image segmentation valuation criteria,as fitness function and Particle Swarm Optimization(PSO) algorithm to search for the optimal parameter in the parameter space.The results show that the optimal value of   α can be found in (0,1)in general cases|if more strict segmentation is needed,the optimal value of   α can be found in (0,10).