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计算机工程 ›› 2010, Vol. 36 ›› Issue (14): 187-189. doi: 10.3969/j.issn.1000-3428.2010.14.068

• 图形图像处理 • 上一篇    下一篇

一种改进的基于模糊推理的边缘检测算法

张喜平1,薛丽霞2,王 利2,杨 帆2   

  1. (1. 重庆邮电大学软件学院,重庆 400065;2. 重庆邮电大学计算机科学与技术学院,重庆 400065)
  • 出版日期:2010-07-20 发布日期:2010-07-20
  • 作者简介:张喜平(1977-),女,讲师、硕士,主研方向:遥感图像处理;薛丽霞,副教授、博士;王 利,讲师、硕士;杨 帆,硕士
  • 基金资助:

    重庆邮电大学自然科学基金资助项目“基于模糊集理论的遥感图像多方法融合边缘检测研究”(A2008-29)

Improved Edge Detection Algorithm Based on Fuzzy Inference

ZHANG Xi-ping1, XUE Li-xia2, WANG Li2, YANG Fan2   

  1. (1. Software College, Chongqing University of Posts and Telecommunications, Chongqing 400065;2. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065)
  • Online:2010-07-20 Published:2010-07-20

摘要:

针对基于模糊推理的边缘检测算法中存在的边缘模糊、未去除伪边缘、算法优化效果不佳的问题,提出一种改进的模糊边缘检测算法。给出一种模糊化规则,即利用方向灰度对比度确定边缘隶属度值,增加去除伪边缘的规则,使得边缘细化。实验表明,该算法效果优于模糊竞争算法、Pal King算法和其他一些改进的模糊边缘检测算法。

关键词: 模糊推理, 模糊规则, 边缘检测, 边缘隶属度

Abstract:

Aiming at the problems that there exists edge vague, the pseudo-edge cannot be removed and algorithm results do not achieve optimal results by virtue of fuzzy reasoning for edge detection algorithms, this paper proposes an improved fuzzy edge detection algorithm. It proposes a fuzzy rule that uses the contrast of gray-scale’s direction to determine the value of edge’s membership and increase the rules to remove false edge and make edge refined. Tests show that the algorithm is better than fuzzy competitive algorithm, Pal King algorithm and other improved fuzzy edge detection algorithms.

Key words: fuzzy inference, fuzzy rules, edge detection, edge membership

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