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一种改进的模糊阈值选取方法
An Improved Method to Get Fuzzy Threshold
【摘要】 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
【Abstract】 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.
【Key words】 image segmentation; threshold; fuzzy binary images; fuzzy entropy;
- 【文献出处】 武汉大学学报(理学版) ,Wuhan University Journal(Natural Science Edition) , 编辑部邮箱 ,2002年01期
- 【分类号】TN919.8
- 【被引频次】8
- 【下载频次】227