基于最大化直觉模糊集相似度的图像阈值分割

Image Threshold Segmentation Based on Maximization of Intuitionistic Fuzzy Sets

针对目前图像阈值分割法中多参数选取的问题,提出一种无需参数的阈值分割算法.首先,通过模糊隶属度函数,将图像映射到直觉模糊集中.然后,采用最大化相似度准则,对该直觉模糊集进行相似度测量并获取其最佳阈值.仿真结果表明,与传统方法相比,本文方法具备更好的分割效果.

In order to solve the problem of multi-parameter selection in the present image threshold segmentation method,a threshold segmentation algorithm without parameters is proposed in this paper.First,the image is mapped to intuitionistic fuzzy sets by fuzzy membership function.Then,the maximum similarity criterion is adopted to measure the similarity of the intuitionistic fuzzy sets and the best threshold is obtained.The simulation results show that compared with the traditional method,the proposed method has better segmentation effect.