基于模糊率的自适应多阈值图像分割方法

兵工学报 ›› 2009, Vol. 30 ›› Issue (9): 1211-1216.

基于模糊率的自适应多阈值图像分割方法

丁艳^1,2，金伟其²，刘伟¹

1．北京理工大学宇航学院，北京100081；2．北京理工大学光电学院，北京100081

收稿日期:2008-05-30 上线日期:2014-12-25
通讯作者: 丁艳 E-mail:dingyan@ bit．eciu．cn
作者简介:丁艳（1967-），女，副教授，博士。

An Adaptive Multi-threshold Selection Method Based on Index of Fuzziness

DING Yan^1,2, JIN Wei-qi², LIU Wei¹

1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China

Received:2008-05-30 Online:2014-12-25
Contact: DING Yan E-mail:dingyan@ bit．eciu．cn

摘要/Abstract

摘要： 针对目前图像模糊阈值分割法存在的窗口宽度自动选取困难以及阈值搜索范围难以确定的问题，本文提出了一种基于模糊率的自适应多闽值图像分割方法。利用图像直方图峰值分段的思想，在给定隶属函数的情况下，实现了窗宽的自适应选取以及图像多闽值的自动选取，有效地拓宽了模糊阈值图像分割方法的适用范围。实验结果表明，该方法对直方图呈多峰分布的图像可取得良好的分割效果。

关键词: 信息处理技术 , 图像分割 , 模糊阈值 , 多闽值选取 , 直方图

Abstract: To solve the problems of automatically getting the window size and searching zone for tradi?tional segmentation methods，an adaptive multi-threshold selection method based on index of fuzziness was proposed. By utilizing the statistic characteristic of the gray disturomg and the mstogram peak in?formation, the window width of predetermined subjection function and the threshold searching zone were determined automatically. It is useful for expanding the applicable range of threshold segmenta?tion based on index of fuzziness. The experimented results show that the gooa segmented results can be achieved by the method for the image which histogram presents multi-peak distribution.

Key words: information processing , image segmentation , fuzzy threshold , multi-threshold selection , histogram

中图分类号:

TP391.4

丁艳，金伟其，刘伟. 基于模糊率的自适应多阈值图像分割方法[J]. 兵工学报, 2009, 30(9): 1211-1216.

DING Yan, JIN Wei-qi, LIU Wei. An Adaptive Multi-threshold Selection Method Based on Index of Fuzziness[J]. Acta Armamentarii, 2009, 30(9): 1211-1216.

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