一种改进的模糊增强算法  

Improved fuzzy enhancement algorithm

作　　者：陈思[1] 马艳娥[1] 刘妍[1] 王红红[1] 

机构地区：[1]中北大学电子测试技术国家重点实验室,太原030051

出　　处：《电子测试》2011年第8期29-32,共4页Electronic Test

摘　　要：针对在图像处理的过程中要面对许多含糊不清的情况,采用模糊集理论这一有效的数学工具是非常必要的。本文在研究模糊增强传统算法的基础上,提出了一种新的隶属度函数。它克服了传统算法中的变换强度较小、运算速度较慢和丢失部分灰度信息等缺点。另外,为了更好地保持图像的细节,本文在模糊增强算法中引入了平滑处理,完善了图像的模糊增强系统。实验结果表明,使用新提出的方法和系统进行增强处理取得了令人满意的结果。Aiming at the problem of many slurred cases in the image processing process,a fuzzy set theory which is an effective mathematical tool is very necessary.Based on the study of the traditional fuzzy enhancement algorithm,a new kind of membership functions is proposed.It can overcome the disadvantage of traditional algorithm in transform intensity lesser,operation at a slower speed and loss of part of gray information shortcomings.In addition,in order to better keep the detail of image,we introduce smooth processing in the fuzzy enhancement algorithm and perfect the system of image fuzzy enhancement.Experimental results show that system of enhancement processing achieved satisfactory results when we use the newly proposed method.

关 键 词：图像增强 隶属度函数 边缘检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]