Edge detection based on fuzzy inference

ZHAO Chun-jiang; SHI Wen-kang; DENG Yong

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Edge detection based on fuzzy inference

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- Edge detection based on fuzzy inference
- Optics and Precision Engineering Vol. 11, Issue 3, Pages: 309-313(2003)
- 作者机构：
  
  上海交通大学, 电子信息学院, 上海, 200030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN215
- Received：30 December 2002，
  
  Revised：20 March 2003，
  
  Published Online：15 June 2003，
  
  Published：15 June 2003
- 稿件说明：
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赵春江, 施文康, 邓勇. 基于模糊推理的边界检测方法[J]. 光学精密工程, 2003,(3): 309-313

ZHAO Chun-jiang, SHI Wen-kang, DENG Yong . Edge detection based on fuzzy inference[J]. Editorial Office of Optics and Precision Engineering, 2003,(3): 309-313
赵春江, 施文康, 邓勇. 基于模糊推理的边界检测方法[J]. 光学精密工程, 2003,(3): 309-313 DOI：

ZHAO Chun-jiang, SHI Wen-kang, DENG Yong . Edge detection based on fuzzy inference[J]. Editorial Office of Optics and Precision Engineering, 2003,(3): 309-313 DOI：

摘要

基于IF THEN的推理规则

提出了一种模糊推理的边界检测方法

实现对灰度图像的边界检测.通过分析图像中是否有灰度突变

来判断边界的存在.在进行边界检测的同时

还可以抑制脉冲噪声的干扰.实验结果表明:基于模糊推理的边界检测方法在使用少量推理规则的条件下

也可以对图像边界进行很好的检测.

Abstract

The presence of an edge can be judged from the sudden changes in the image intensity by following the IF THEN fuzzy inference rules while impulse noises are suppressed. Experimental results show that image edges can be properly by following a few fuzzy inference rules.

关键词

Keywords

references

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