一种加权直觉模糊熵分割法

摘要

For image with uneven illumination, existing intuitionistic fuzzy entropy thresholding method cannot achieve satisfactory results.A kind of new weighted intuitionistic fuzzy entropy is presented, and it is applied to choose optimal thresholds of image segmentation.Finally, the weight choosing method of weighted intuitionistic fuzzy entropy thresholding criteria is proposed. The experimental results show that weighted intuitionistic fuzzy entropy thresholding method is feasible,and can make up for the shortage of existing intuitionistic fuzzy entropy thresholding method.%针对现有的直觉模糊熵阈值法对于光照不均匀图像的分割很不理想,提出了一种新的加权直觉模糊熵,将其应用于图像分割最佳阈值的选取,最后给出了加权直觉模糊熵阈值化准则的权重选取方法.实验结果表明,该加权直觉模糊熵阈值法是可行的,可以弥补现有直觉模糊熵阈值法的不足.