An Improved Edge Detection Algorithm Based on Canny Operator

Dan Dan Zhang; Shuang Zhao

doi:10.4028/www.scientific.net/AMM.347-350.3541

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350An Improved Edge Detection Algorithm Based on...

An Improved Edge Detection Algorithm Based on Canny Operator

Abstract:

The traditional Canny edge detection algorithm is analyzed in this paper. To overcome the difficulty of threshold selecting in Canny algorithm, an improved method based on Otsu algorithm and mathematical morphology is proposed to choose the threshold adaptively and simultaneously. This method applies the improved Canny operator and the image morphology separately to image edge detection, and then performs image fusion of the two results using the wavelet fusion technology to obtain the final edge-image. Simulation results show that the proposed algorithm has better anti-noise ability and effectively enhances the accuracy of image edge detection.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3541-3545

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3541

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Online since:

August 2013

Authors:

Dan Dan Zhang, Shuang Zhao

Keywords:

Canny Operator, Edge Detection, Image Fusion, Morpholoy

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