首页 | 本学科首页   官方微博 | 高级检索  
     

景物边缘提取的边缘分段自增强算法
引用本文:董银文,刘宏波,王晓东,郭雷. 景物边缘提取的边缘分段自增强算法[J]. 计算机工程与应用, 2005, 41(8): 34-36,59
作者姓名:董银文  刘宏波  王晓东  郭雷
作者单位:西北工业大学自动化学院,西安,710072;华中科技大学电子与信息工程系,武汉,430074
基金项目:国家自然科学基金资助项目(编号:60175001)
摘    要:景物边缘信息是进行图象分析和识别的重要属性,如何有效地从噪声图象中提取边缘是这些领域中的难点。该文提出了一种边缘分段自增强算法用于噪声图象的边缘提取。该算法首先对噪声图象进行小尺度高斯滤波,并使用该文设计的新型边缘检测算子获取引导信息,此边缘检测算子在定位精度、抑制噪声和虚假边缘方面具有很好的性能;然后对各搜索轨迹进行分段自增强,最后根据自增强累积的程度获取噪声图象中的边缘。实验结果表明:此算法能够有效地从噪声图象中提取物体的真实边缘,并能最大限度地保留细节信息。

关 键 词:边缘提取  分段自增强  启发式搜索  小尺度高斯滤波
文章编号:1002-8331-(2005)08-0034-03

An Edge Extraction Algorithm Using the Accumulation of Sub-edge Self-reinforcement of Search Trajectories
Dong Yinwen,Liu Hongbo,Wang Xiaodong,Guo Lei. An Edge Extraction Algorithm Using the Accumulation of Sub-edge Self-reinforcement of Search Trajectories[J]. Computer Engineering and Applications, 2005, 41(8): 34-36,59
Authors:Dong Yinwen  Liu Hongbo  Wang Xiaodong  Guo Lei
Affiliation:Dong Yinwen1 Liu Hongbo2 Wang Xiaodong1 Guo Lei11
Abstract:Edge is an important attribute for image analysis and recognition,but it is difficult to effectively extract edge from noisy image in the domain.In this paper,a novel sub-edge self-reinforcement algorithm for edge extraction in noisy image is proposed.Firstly,the noisy image is filtered by a small scale Gaussian Filter,then a new Large Template Edge Detector is designed in order to get more accurate lead information for the subsequential sub-edge self-reinforces;Finally,the real edge of noisy image is extracted from the accumulated search trajectories.Experimental results show that the method can extract real edge in noisy image while keeping the image details.
Keywords:edge extraction  sub_edge accumulation  heuristic search  small scale Gaussian filtering
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号