Image Edge Detection Algorithm Based on Mathematical Morphology

Journal of South China University of Technology (Natural Science Edition) ›› 2008, Vol. 36 ›› Issue (9): 113-116,121.

• Electronics, Communication & Automation Technology • Previous Articles Next Articles

Image Edge Detection Algorithm Based on Mathematical Morphology

Liu Qing Lin Tu-sheng

School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, Gaangdong, China

Received:2007-09-24 Revised:2008-01-07 Online:2008-09-25 Published:2008-09-25
Contact: 刘清（1977-），男，博士生，主要从事图像处理、模式识别和图像检索研究． E-mail:liu．qing3@mail．scut．edu．cn
About author:刘清（1977-），男，博士生，主要从事图像处理、模式识别和图像检索研究．
Supported by:
国家自然科学基金资助项目（60472006）;广东省自然科学基金团队研究项目（04205783）

Abstract

Abstract:

It is known that the traditional edge detection methods are effective but are sensitive to noise, and that most mathematical morphology-based edge detection algorithms are insufficient for complex edge feature due to their single structure element. In order to solve these problems, a novel muhi-structure element multi-scale edge detection algorithm based on mathematical morphology is proposed. In this algorithm, the noise is filtered by an alternative-order morphological open-close filter with a multi-scale element, the edge information in different directions is obtained using multi-structure elements and is further fused to generate the final edge. Experimental results show that the proposed algorithm is insensitive to noise and is efficient in complex edge detection.

Key words: edge detection, mathematical morphology, multi-structure, multi-scale, binarization

Liu Qing Lin Tu-sheng. Image Edge Detection Algorithm Based on Mathematical Morphology[J]. Journal of South China University of Technology (Natural Science Edition), 2008, 36(9): 113-116,121.

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Image Edge Detection Algorithm Based on Mathematical Morphology

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