摘要
阴影检测在图像处理中是一个十分重要的课题。该文提出了一种基于边缘特征的阴影边缘检测方法。对于阴影边缘检测的结果,利用文献所提出的基于模糊理论的边缘连接方法来进行连接,并在此基础上提出了一种基于模糊理论的边缘闭合方法将未闭合的离散边缘点或曲线段连接成闭合边缘。最后,利用局部均值和直方图获取阴影区域。实验结果表明,本文提出的方法在定位精度和去除噪声等方面都取得了较好效果。
Shadow detection plays an important role in image processing field.A novel shadow edge detection method based on edge feature is presented in this paper firstly. Secondly the detected shadow edges are linked with together based on fuzzy theory presented in.Then we present a novel edge closure method based on fuzzy theory to link separate edge points and curve segments together. At last, shadow regions are obtained by region mean and histogram. Experimental results show that this algorithm has better performance on not only location accuracy but also denoise.
出处
《微计算机信息》
北大核心
2007年第3期294-296,共3页
Control & Automation
基金
TRUE(The Tracer Retention Understanding Experiments)
由瑞典SKB
欧盟联合支持
重庆市自然科学基金项目(CSTC2004BB7166)
