一种基于Canny理论的自适应边缘检测方法

王植; 贺赛先

doi:10.11834/jig.200408183

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专辑

一种基于Canny理论的自适应边缘检测方法
An Adaptive Edge-detection Method Based on Canny Algorithm
2004年9卷第8期页码：957
纸质出版：2004
DOI： 10.11834/jig.200408183
稿件说明：

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王植, 贺赛先. 一种基于Canny理论的自适应边缘检测方法[J]. 中国图象图形学报, 2004,9(8):957. DOI： 10.11834/jig.200408183.

An Adaptive Edge-detection Method Based on Canny Algorithm[J]. Journal of Image and Graphics, 2004, 9(8): 957. DOI： 10.11834/jig.200408183.

摘要

基于Canny算子，提出了一种Canny自适应的边缘检测方法。Canny自适应算法在保持了Canny算子原有的定位准确，单边响应和信噪比高等优点的基础上，提高了Canny算子在提取图像边缘细节信息和抑制假边缘噪声方面的性能。Canny自适应算法将整幅图像分割为若干子图像，并根据各子图像的边缘梯度信息，结合全局边缘梯度特征信息自适应地生成动态阈值，提高了边缘检测的自动化程度，在实际的应用中获得了很好的效果。通过数学分析和试验结果证明了Canny自适应算法是一种有效的边缘检测改善方法。

Abstract

This paper is based on Canny algorithm.An adaptive Canny algorithm of edge-detection method is proposed.This algorithm not only keeps the Canny's excellent performance in good localization

only one response to a single edge and good detection

but also improves the performance in the detail edge-detection and good detection. Canny adaptive algorithm divides image into sub-images and detects them with adaptive threshold value according to the whole image edge information

that improves the automaticity of edge-detection.With the mathematic analysis and test result

it is demonstrated that the adaptive edge-detection method is an efficient improving approach on edge-detection.