A Roberts' Adaptive Edge Detection Method

康牧 1; 2; 许庆功 3; 王宝树 1

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A Roberts' Adaptive Edge Detection Method

更新时间：2025-12-08

- A Roberts' Adaptive Edge Detection Method
- Vol. 42, Issue 10, Pages: 1240-1244(2008)
- 作者机构：
  
  1. 西安电子科技大学计算机学院,西安,710071
  2. 洛阳师范学院信息技术学院,河南,洛阳,471022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Online First：10 October 2008，
  
  Published：2008
- 稿件说明：
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康牧 1, 2, 许庆功 3, et al. A Roberts' Adaptive Edge Detection Method[J]. 2008, 42(10): 1240-1244.
DOI：

康牧 1, 2, 许庆功 3, et al. A Roberts' Adaptive Edge Detection Method[J]. 2008, 42(10): 1240-1244. DOI：

摘要

针对Roberts 算法对噪声比较敏感且需要人为指定阈值等问题

提出了一种Roberts 自适应边缘检测方法.利用Roberts算子的基本原理

扩充了检测方向

再根据待检像素周围的3×3像素邻域的平均像素灰度值

结合人眼视觉特征自适应地生成动态阈值

这样既保留了原Roberts算子的可并行处理、快速运算、边缘较细等优点

还对噪声有一定的抑制作用.同时

针对Roberts算法边缘检测相对粗糙、边缘细化效率较低的问题

分析和改进了原有边缘细化算法

即先对含有噪声的图像进行边缘检测

过滤其伪边缘

再对图像边缘进行细化处理

从而得到单像素边缘.实验比较表明

所提算法能够自适应地生成动态阈值

提高图像边缘细节信息的提取性能.

Abstract

An adaptive edge detection method is proposed for the sensitivity to noise and given threshold of existing Roberts algorithms. The basic principle of the Roberts algorithm is used and the direction of the detection is expanded. The algorithm generates automatically adaptive threshold according to the mean value of the 3×3 area pixels around the detecting pixel and the property of people's vision. It not only can keep advantages of existing Roberts algorithm such as parallel process

fast calculation speed and the comparatively thin edge

but also can play a certain part in restraining noise. Because the edge detected by Roberts algorithm is comparatively thick

and the efficiency of the edge-thin algorithm is lower

the edge-thin algorithm is analyzed and improved. The improved algorithm detects the edge of the image where there exists noise

filters the fake edge

then thins the edge of the image

and finally gets the single pixel edge. By comparing the test results of the adaptive edge detection algorithm with those of the existing Roberts algorithm

the adaptive edge detection method can generate automatically adaptive threshold

improves the performance in getting detailed-edge and restraining noise.

关键词

Keywords

references

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