应用模糊逻辑图像分割方法的分析与研究

Image Segmentation Based on Fuzzy Logic Methods

将模糊逻辑中隶属度函数的概念应用到图像分割中,改变现有分割方法中由一个分割阈值决定一个像元属于哪个类别的问题,而由在一定范围内的隶属度函数值来决定像元的类别,这种方法称为模糊逻辑图像分割方法(FLIS)。通过对真实航空影像的图像分割实验,同时将实验结果与现有方法作了对比,结果表明FLIS方法具有明显的优势。

In this paper, the membership function in fuzzy logic is applied to image segmentation. It u- ses the value of a membership function within a certain range instead of a segmentation threshold to determine which category a pixel Belongs to. This method is called the fuzzy logic image segmentation method （FLIS）. Through image segmentation experiments with real aerial images, we compare exper- imental results with existing methods. The results show that the FLIS method has clear advantages.