基于模糊增强的彩色边缘检测研究  

Research on Colour Edge Detection Based on Fuzzy Enhancement

作　　者：付玉芳[1] 李际军[2] 

机构地区：[1]浙江大学计算中心,浙江杭州310058 [2]浙江大学计算机系,浙江杭州310058

出　　处：《计算机工程与科学》2005年第2期23-24,44,共3页Computer Engineering & Science

基　　金：杭州市5112工程专项资助项目(2003131E14)

摘　　要：针对灰度图像易丢失有用信息,以及边缘较模糊的图像其边缘检测结果不准确等问题,本文提出基于模糊增 强的彩色边缘检测方法。该算法首先将彩色图像转换到YUV空间,然后在图像的模糊特征平面上进行模糊增强,并合理 使用亮度、色度等信息进行彩色边缘检测,最后二值化。实验结果表明,该算法是有效的。In this paper, we present an approach of colour edge detection based on fuzzy enhancement The steps of this approach can be summarized as follows: First, a YUV coluor space is obtained from a RGB colour space and image enhancement in the fuzzy domain proposed by ZHOU De-long is performed; Second, a method for colour edge detection is proposed by using the fit degree of purity, brightness etc; Finally, binary edge image is converted by a threshold using the fit degree of Y, U, V etc. Experimental results show that the method is satisfactory.

关 键 词：图像边缘 模糊增强 彩色边缘检测 灰度图像 计算机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]