计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (5): 140-142.DOI: 10.3778/j.issn.1002-8331.2010.05.042

• 图形、图像、模式识别 • 上一篇    下一篇

基于模糊逻辑和纹理分析的图像增强算法研究

王玉娟1,2,鲁书喜1,2   

  1. 1.武汉理工大学 计算机学院,武汉 430070
    2.平顶山学院 计算机科学与技术学院,河南 平顶山 467002
  • 收稿日期:2008-08-13 修回日期:2008-10-20 出版日期:2010-02-11 发布日期:2010-02-11
  • 通讯作者: 王玉娟

Enhancement algorithm based on fuzzy logic and texture analysis

WANG Yu-juan1,2,LU Shu-xi1,2   

  1. 1.College of Computer,Wuhan University of Technology,Wuhan 430070,China
    2.College of Computer Science and Technology,Pingdingshan College,Pingdingshan,Henan 467002,China
  • Received:2008-08-13 Revised:2008-10-20 Online:2010-02-11 Published:2010-02-11
  • Contact: WANG Yu-juan

摘要: 提出了基于模糊逻辑和纹理分析的图像增强算法,通过图像模糊化、提取纹理信息和纹理信息模糊化、定义局部对比度、根据全局和局部信息来进行对比度的变换等措施,提高了增强算法的效果。测试结果表明该算法能很好地增强图像的边缘等细节信息,同时避免放大噪声和过增强的出现。

关键词: 增强算法, 模糊逻辑, 纹理分析, 最大信息熵

Abstract: This paper presents a novel enhancement algorithm based on fuzzy logic and texture analysis.The approach improves the enhancement performance using image fuzzification,textural information extraction and texture fuzzification,local contrast definition,and contrast transformation by global and local information.Experimental results prove that the proposed method has better performance in enhancing images without over-enhancement and under-enhancement.

Key words: enhancement, fuzzy logic, texture analysis, maximum entropy principle

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