Image edge detection algorithm based on improved Canny operator

2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI:10.1109/ICWAPR.2013.6599311

Caixia Deng, Guibin Wang, Xinrui Yang

引用次数: 73

Abstract

The traditional Canny operator does not have the adaptive ability in the selection of the variance of the Gaussian filtering. Filtering requires human intervention, and the selection of the variance of Gaussian filtering affects the edge preserving and denoising effect. An improved edge detection algorithm is proposed in this paper. The Gaussian filtering is replaced with the morphological filtering. Experimental results show that the improved Canny operator can filter the salt & pepper noise effectively, improve the accuracy of edge detection, and achieve an ideal effect of edge detection. The experiment results show that the objective evaluation and visual effect are good.

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基于改进Canny算子的图像边缘检测算法

传统的Canny算子在高斯滤波方差的选择上不具备自适应能力。滤波需要人工干预，高斯滤波方差的选取影响边缘保持和去噪效果。提出了一种改进的边缘检测算法。用形态学滤波代替高斯滤波。实验结果表明，改进的Canny算子能够有效滤除椒盐噪声，提高边缘检测的精度，达到理想的边缘检测效果。实验结果表明，该方法具有良好的客观评价和视觉效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 International Conference on Wavelet Analysis and Pattern Recognition

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