Edge Detection Method for Denoising Based on Soft Morphology

doi:10.3696/j.issn.1672-6952.2011.02.012

Journal of Liaoning Petrochemical University ›› 2011, Vol. 31 ›› Issue (2): 39-44.DOI: 10.3696/j.issn.1672-6952.2011.02.012

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Edge Detection Method for Denoising Based on Soft Morphology

ZHAI Cong，JI Yu-bo**

School of Computer and Communication Engineering, Liaoning Shihua University, Fushun Liaoning 113001, P.R.China

Received:2010-12-02 Published:2011-06-25 Online:2017-07-05

基于Soft形态学的图像去噪边缘检测

翟聪,纪玉波*

辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001

作者简介:翟聪(1983-),男,山东邹城市,在读硕士。

Abstract

Abstract:

The image processing effect based on morphology is depending on the operation and the structural element. To suppress noise of image and withdraws the edge information. A method which uses multi-element composite structure with dual gradient filter and multiple synthesis methods based on soft morphology was presented. Flexible multi-element composite structure could effectively remove the image noise filtering, and dual-gradient multiplex could improve the detection rate of the image edge. The experimental results show that the method is better than traditional algorithms in suppressing noise and edge detection.

Key words: Edge detection , , Soft morphology , , Multi-structural element , Double gradient

摘要： 基于形态学的图像处理效果取决于运算性质和结构元素,为了能够更好地抑制图像的噪声并且提取
边缘信息,提出了一种基于柔性形态学的图像去噪和边缘检测方法。该方法使用多结构元复合滤波与双梯度多路
合成相结合,柔性的多结构元复合滤波能够有效去除图像噪声,双梯度多路合成可以提高图像边缘的检出率,不仅
抑制图像的噪声,而且提取出的图像边缘更清晰完整。实验结果表明,该方法在抑制噪声和边缘检测方面要比传统
算法有较好的效果。

关键词: 边缘检测 , , , 柔性形态学, 多结构元 , 双梯度

ZHAI Cong，JI Yu-bo*. Edge Detection Method for Denoising Based on Soft Morphology[J]. Journal of Liaoning Petrochemical University, 2011, 31(2): 39-44.

翟聪,纪玉波. 基于Soft形态学的图像去噪边缘检测[J]. 辽宁石油化工大学学报, 2011, 31(2): 39-44.

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Edge Detection Method for Denoising Based on Soft Morphology

基于Soft形态学的图像去噪边缘检测

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