基于局部区域空间矩的边缘特征检测方法

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 139-142.

基于局部区域空间矩的边缘特征检测方法

陈昌孝,何明浩,曲智国

湖北武汉空军预警学院武汉430019;湖北武汉空军预警学院武汉430019;湖北武汉空军预警学院武汉430019

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受空军重点科研项目(KJ2011192)(61103082)资助

Edge Detection Based on Spatial Moments of Local Region

CHEN Chang-xiao,HE Ming-hao and QU Zhi-guo

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： SUSAN算子是一种利用局部区域信息的边缘检测方法,由于仅利用了局部区域的零阶空间矩信息,导致检测结果中容易出现虚假边缘。为此,提出了一种基于局部区域空间矩的边缘特征检测方法,即综合利用局部区域的零阶、一阶和二阶空间矩信息来检测图像中的边缘。利用合成图像和实际图像并加入不同类型的噪声进行的实验分析结果表明,提出的边缘检测算子可以有效消除噪声引起的虚假边缘响应,提高SUSAN算子的边缘定位精度。

关键词: 边缘检测,SUSAN算子,局部区域,空间矩中图法分类号TP391文献标识码A

Abstract: The SUSAN edge detector is an algorithm based on the local region information which is prone to false-edge problems in noisy environment since it only utilizes the zeroth spatial moment of local region．To solve that problem,a novel edge detector,which utilizes information of higher-order spatial moments such as the first and second-order spatial moments of local region,was presented．Experiments were conducted on synthetic image and real images with different kinds of noise.The results show that M-USAN can remove false-edges and improve the performance of SUSAN edge detector effectively.

Key words: Edge detection,SUSAN edge detector,Local region,Spatial moment

陈昌孝,何明浩,曲智国. 基于局部区域空间矩的边缘特征检测方法[J]. 计算机科学, 2014, 41(Z6): 139-142. https://doi.org/

CHEN Chang-xiao,HE Ming-hao and QU Zhi-guo. Edge Detection Based on Spatial Moments of Local Region[J]. Computer Science, 2014, 41(Z6): 139-142. https://doi.org/

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