东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (1): 25-28.DOI: -

• 论著 • 上一篇    下一篇

基于模糊推理和柔性形态滤波的图像增强方法

付萍;薛定宇;迟健男;徐心和;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;北京科技大学信息工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;北京100083;辽宁沈阳110004
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-01-15 发布日期:2013-06-22
  • 通讯作者: Fu, P.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60475036);;

Image enhancement based on fuzzy inference and soft morphological filtering

Fu, Ping (1); Xue, Ding-Yu (1); Chi, Jian-Nan (2); Xu, Xin-He (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-01-15 Published:2013-06-22
  • Contact: Fu, P.
  • About author:-
  • Supported by:
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摘要： 根据柔性形态学的相关概念和性质,提出了一种基于模糊推理和柔性形态滤波的图像增强方法.该方法首先定义了方向性结构元素,在结构元素内引入模糊推理方法判别图像边缘方向,进而构造方向性柔性形态学滤波器对图像边缘进行滤噪增强,并根据局部均值和熵差自适应确定增强系数.实验结果表明该方法可以有效滤除噪声,增强图像边缘.

关键词: 模糊推理, 边缘检测, 边缘方向判决, 柔性形态滤波, 图像增强

Abstract: According to the correlative concept and properties of soft morphology, an image enhancement approach based on fuzzy inference and soft morphological filtering is proposed. With the idea of fingerprint image enhancement taken for reference, the directional structuring elements are defined, in which the fuzzy inference is introduced to judge the direction of image edges, and further, construct directional filter of soft morphology so as to filter off noise and enhance image edges. The coefficient of image enhancement is thus determined adaptively according to local mean value and entropy difference. Experimental results showed that the approach proposed can filter off the high-frequency noise and upgrade image edge effectively.

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