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一种基于融合技术的图像边缘检测方案
引用本文:王培珍,陈维南. 一种基于融合技术的图像边缘检测方案[J]. 东南大学学报(自然科学版), 2001, 31(6): 78-80
作者姓名:王培珍  陈维南
作者单位:安徽工业大学工业自动化系,马鞍山,243002;东南大学自动化研究所,南京,210096
基金项目:安徽省教育厅科研计划资助项目 ( 2 0 0 0jl176 )
摘    要:从信息融合的角度出发,直接运用运算量较小的梯度算子,在分析各种简单梯度算子的互补特性的基础上,将空们有机地融合,其中融合的权重自适应地调整。针对梯度算子在检测边缘时对像素点具有扩散作用及边缘定位不准确等问题,本文采用了松弛标记的技术将融合后的边缘进行了细化,在计算量不显著增加的前提下,提高了边缘检测的质量。

关 键 词:信息融合  梯度算子  边缘检测
文章编号:1001-0505(2001)06-0078-03

A New Edge Detection Technique Based on Data Fusion
Wang Peizhen Chen Weinan. A New Edge Detection Technique Based on Data Fusion[J]. Journal of Southeast University(Natural Science Edition), 2001, 31(6): 78-80
Authors:Wang Peizhen Chen Weinan
Affiliation:Wang Peizhen 1 Chen Weinan 2
Abstract:From the view of data fusion, the compensation characters of simple operators are discussed, and the data from the simple operators are properly fused, the weights of fusion can adaptively be gained. In order to determine whether a putative edge point is a true edge point and to find its exact position, a relaxation labeling technique is also implemented to thin the edge. Thus, the quality of the edge can be improved and the time of calculation is limited.
Keywords:data fusion  derivative operator  edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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