一种改进的模糊阈值选取方法

一种改进的模糊阈值选取方法 An Improved Method to Get Fuzzy Threshold 陈淑珍 CHEN Shu\|zhen 1 2 first-author 张燏 ZHANG Yu 1 2 刘志军 LIU Zhi\|jun 1 2 刘怀林 LIU Huai\|lin 1 2 陈睿 CHEN Rui 1 2 武汉大学电子信息学院 武汉大学电子信息学院 School of Electronic Information,Wuhan University School of Electronic Information,Wuhan University 武汉大学电子信息学院,湖北,武汉,430072 武汉大学电子信息学院,湖北,武汉,430072 提出了一种改进的模糊阈值选取方法 .针对传统的模糊阈值法隶属函数窗宽不容易确定的出发点 ,结合传统的易于实现的阈值选取方法 ,巧妙的绕过了确定窗宽的问题 ,能够结合模糊阈值法和该传统阈值法各自所能达到的优点 ,并且方法非常简单 ,明了 .实践证明 ,这种方法是行之有效的 ,并具有较强的场景适应能力 It is offered a new method to get Fuzzy threshold in this article. First, the fundamental principals of Image Segmentation is showed, as well as some characteristics of threshold. And then, the custom Fuzzy Binary method are stated. In order to solve the problem that the parameters of custom Fuzzy threshold are difficult to set, combined with other custom and easy to accomplish binary methods, bypassing the problem smartly, we can get the both merits of these two. What’s more, the method is very easy and clear. It is proved effective by practice, and can get good performance in similar situations. 图像分割 阈值 模糊阈值法 模糊熵 image segmentation threshold fuzzy binary images fuzzy entropy TN919.8 武汉市科委基金资助 （ 985 0 0 30 6 2 ） 2002-01-01 2021-04-01 1