A Novel Approach of Edge Detection Based on Vector Morphology

Qiang Chen

doi:10.4028/www.scientific.net/AMM.511-512.545

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 511-512A Novel Approach of Edge Detection Based on Vector...

A Novel Approach of Edge Detection Based on Vector Morphology

Abstract:

Edge detection of color image is a difficult problem in image processing. Although a lot of corresponding to methods have been proposed, however, none of them can effectively detect image edges while suppressing noises. In this paper, a novel edge detection algorithm of color images based on mathematical morphology is proposed. Through designing a new anti-noise morphological gradient operators, we can obtain better edge detection results. The proposed gradient operators are applied to detect edge for three components of a color image. An then, the final edge can be obtained by fusing the three edge results. Experimental results show that the feasibility and effectiveness of the proposed algorithm. Moreover, the proposed algorithm has better effect of preserving the edge details and better robustness to noises than traditional methods.

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Periodical:

Applied Mechanics and Materials (Volumes 511-512)

Pages:

545-549

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.511-512.545

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Online since:

February 2014

Authors:

Qiang Chen*

Keywords:

Color Image, Edge Detection, Mathematical Morphology, Multi-Structure Elements

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* - Corresponding Author

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