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一种改进的自适应模糊阈值图象分割方法
引用本文:付小宁,殷世民,刘上乾.一种改进的自适应模糊阈值图象分割方法[J].光子学报,2003,32(5):605-607.
作者姓名:付小宁  殷世民  刘上乾
作者单位:1. 西安电子科技大学机电工程学院,西安,710071
2. 西安电子科技大学技术物理学院,西安,710071
摘    要:自适应模糊阈值图象分割方法的关键和困难在于隶属函数窗宽的自动调整和阈值搜索范围的确定.依靠图象灰度的统计特性初步确定阈值搜索范围,提出了一种改进方法,进而得到隶属函数的窗宽.实验表明这种方法避免了确定图象灰度直方图峰位置的困难,对较低亮度图象分割效果良好.

关 键 词:图象分割  模糊  阈值  改进
收稿时间:2002/6/20
修稿时间:2002年6月20日

An Improved Approach for Adaptive Segmentation Threshold Based on Fuzzy Index
Fu Xiaoning,Yin Shimin,Liu Shangqian.An Improved Approach for Adaptive Segmentation Threshold Based on Fuzzy Index[J].Acta Photonica Sinica,2003,32(5):605-607.
Authors:Fu Xiaoning  Yin Shimin  Liu Shangqian
Institution:1. School of Mechanical & Electronic Engineering, Xidian University, Xi’an 710071;2. School of Technology Physics, Xidian University, Xi’an 710071
Abstract:It is known that the key and the difficult for an adaptive segmentation approach with a threshold based on fuzziness index lies in both a searching zone for the threshold and a self-adjusting width of the subjection function. An improved approach is presented, which obtains the searching zone from the statistic characteristic of the gray disturbing, and then determines the window width of subjection function. It is indicated that this method can avoid the difficult of peak-seeking in the gray histogram, and achieves an good performance for low illumination image.
Keywords:Image segmentation  Fuzzy  Threshold
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