摘要
由于噪声等原因 ,工程图在输入计算机时会使图象质量下降 ,造成图象中诸如细线、角点等重要的细节信息丢失和破坏。采用模糊理论 ,可以处理模糊信息的模糊增强算法能够有效地消除噪声和保护细节特征 ,使图象质量得到改善。但是图象转折点xc 的合理选择是保证模糊增强效果的关键。因此 ,提出一种自适应模糊增强算法能够根据不同的图象自动选择最佳的转折点。实验证明 。
Owing to the reasons of noises etc., the image quality of engineering drawing will be lowered while it was loaded into computers, thus caused information loss and damage of important details such as thin lines, angle points etc. of the image. By adopting fuzzy theory the fuzzy enhancement algorithm, which may deal with fuzzy information, could effectively eliminate noise and protect detailed features and let the image quality be improved. Nevertheless the reasonable selection for turning points Xc of image is the key of assuring the effect of fuzzy enhancement. Therefore a kind of self adaptive fuzzy enhancement algorithm advanced in this paper could select the optimum turning point automatically according to different images. It is verified by experiment that this algorithm possesses fairly good enhancing effect.
出处
《机械设计》
CSCD
北大核心
2001年第1期4-6,共3页
Journal of Machine Design
基金
高校博士点专项基金资助项目
