一种基于模糊逻辑的自适应阈值图像分割方法

The adaptive threshold image segmentation method based on fuzzy logic

图像是人类感知世界的视觉基础,然而在人类通过视觉获取的大量图像信息中,并不是所有的信息内容都是我们所需要的,所以需要把图像分成若干个特定的、具有独特性质的区域。本文对图像分割方法进行了研究,给出了一种基于模糊逻辑的自适应阈值图像分割方法,并将其应用于车牌图像中,在MATLAB环境下对两幅典型图像通过Otsu方法、脉冲耦合神经网络算法和本文所提算法进行仿真分析,结果对比分析显示本文方法在综合方面略优于其他两种对比方法。

The image is the visual foundation of people perceiving the world. However, in a large amount of image information that human access through visual, not all of the information content is what we need. So we need to divide the image into a number of specific and unique areas. This paper presents an adaptive threshold image segmentation method based on fuzzy logic and the simulation analysis is made on two typical images by the Otsu method , pulse coupled neural network algorithm and the proposed algorithm in this paper in MATLAB environment. The simulation results show that the method is better than the other two methods of comparison in the aspect of comprehensive.