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图象平滑与边缘检测的模糊向量描述
引用本文:王搏,潘泉.图象平滑与边缘检测的模糊向量描述[J].小型微型计算机系统,1999,20(3):218-221.
作者姓名:王搏  潘泉
作者单位:西北工业大学自动控制系
摘    要:本文对噪声和边缘的统计特征进行了分析,提出了以P1(i,j),P2(i,j)和P3(i,j)作为边缘、噪声和非边缘非噪声的尿属函数,并在此基础上建立它们的特征描述向量。借助于该特征向量,将图像平滑和边缘检测转化为一个模式识别的问题,从理论上讨论了解决图像处理中长期存在的去噪和保持边缘细节的折衷问题的思路,并构造了基于模糊模式识别的图像边缘检测和滤波的基本框架。

关 键 词:边缘检测  模式识别  图象平滑  图象处理  模糊向量

THE DECRIPTION OF IMAGE FILTERING AND EDGE DETECTING WITH FUZZY VECTOR
WANG,Bo,PAN,Quan,ZHANG,Hongcai,DAI,Guanzhong.THE DECRIPTION OF IMAGE FILTERING AND EDGE DETECTING WITH FUZZY VECTOR[J].Mini-micro Systems,1999,20(3):218-221.
Authors:WANG  Bo  PAN  Quan  ZHANG  Hongcai  DAI  Guanzhong
Affiliation:Automatic Control Dept.Northwestern Polytechnical Universitg Xian 710072
Abstract:The problem of how to keep the edge details from being smoothing away as noise in image smoothing and how to un large noise in detecting lmage has perplexed almost all algorithms in image processing.a lot of work has been done for this problem, but that has not been solved well up to now.In the paper, the functions of P 1(i,j),P 2(i,j) and P 3(i,j) have been defined to described the characteristics of noise and edges.the basic frame of filtering and edge detection with respect of fuzzy model distinguishing has been structed to solve the tradeoff between edge detail smoothing and noise enlargement.a new train of thought in image processing has been presented.
Keywords:Image edge detection  Membership function  Model distinguishing
本文献已被 CNKI 维普 等数据库收录!
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