计算机工程与应用2012，Vol.48Issue(28)：214-217,4.DOI:10.3778/j.issn.1002-8331.2012.28.044
基于UGM灰预测模型的图像边缘提取算法
Algorithm of image edge detection based on UGM grey forecast model
摘要
Abstract
Conventional edge detection algorithms suffer from the shortcomings of undetected and so on. This paper proposes an algorithm based on UGM model for improving considerably the performance of image edge detection. This paper just adds some pertinent remark to listing the two topics of explanation: how to realize image edge detection based on UGM model; the results of analysis. In the first topic, this paper adds an enhancement parameter q in the error image to improve the edge definition. This paper does experiments and analyzes their results. The analysis of the experimental results show preliminarily that the UGM model can not only effectively detect the information of image edges but also keep their details.关键词
边缘检测/灰色微分方程模型/灰色摆动微分方程模型Key words
edge detection/" Grey Model(GM)/ Undulating Grey Model (UGM)分类
信息技术与安全科学引用本文复制引用
吴志川,彭国华..基于UGM灰预测模型的图像边缘提取算法[J].计算机工程与应用,2012,48(28):214-217,4.基金项目
国家自然科学基金(No.61070233) （No.61070233）
西北工业大学基础研究基金项目(No.JC200946). （No.JC200946）
