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一种基于视觉模型的边缘检测阈值选择策略
引用本文:侯志强,韩崇昭,郑林,肖李珍.一种基于视觉模型的边缘检测阈值选择策略[J].光电工程,2004,31(2):59-62.
作者姓名:侯志强  韩崇昭  郑林  肖李珍
作者单位:1. 西安交通大学电子与信息工程学院综合自动化所,陕西,西安,710049
2. 空军工程大学电讯工程学院指挥自动化室,陕西,西安,710077
基金项目:国家973项目资助(2001CB309403)
摘    要:按照仿生学原理,通过分析人眼的阈值亮度比曲线和weber比曲线,将图像根据背景亮度 划分为低暗区、中间区和高亮区,分别采用不同的公式计算边缘阈值。仿真表明,该方法能够根据边缘所处背景亮度自适应地选择阈值,从而检测出与人的主观视觉更为一致的图像边缘。

关 键 词:边缘检测  图像分割  视觉模型  计算机视觉
文章编号:1003-501X(2004)02-0059-04
收稿时间:2003/2/24
修稿时间:2003年2月24日

Threshold Selection Tactics for an Edge Detection Based on Vision Model
HOU Zhi-qiang,HAN Chong-zhao,ZHENG Lin,XIAO Li-zhen.Threshold Selection Tactics for an Edge Detection Based on Vision Model[J].Opto-Electronic Engineering,2004,31(2):59-62.
Authors:HOU Zhi-qiang  HAN Chong-zhao  ZHENG Lin  XIAO Li-zhen
Affiliation:HOU Zhi-qiang1,HAN Chong-zhao1,ZHENG Lin1,XIAO Li-zhen2
Abstract:An image can be divided into low dark area, middle area and high bright area through analyzing threshold intensity function curves and Weber's law according to bionics principle and background brightness. The edge thresholds for the different areas are calculated according to the different equations, respectively. In this method simulation shows that the edge thresholds can be adaptively selected according to the located backgrounds, thus the image edge that is more consistent with human subjective vision can be detected.
Keywords:Edge detection  Image segmentation  Visual model  Computer vision
本文献已被 CNKI 维普 万方数据 等数据库收录!
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