Edge Detection of Inner Crack Defects Based on Improved Sobel Operator and Clustering Algorithm

Ke Fei Wang

doi:10.4028/www.scientific.net/AMM.55-57.467

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Edge Detection of Inner Crack Defects Based on...

Edge Detection of Inner Crack Defects Based on Improved Sobel Operator and Clustering Algorithm

Abstract:

The classical Sobel edge detection operator has the shortcomings of low edge positioning accuracy and coarse edge, image edge detection based on improved Sobel operator and clustering algorithm was proposed. Four Sobel-like edge operators are used to improve the edge positioning accuracy and clustering algorithm are used to edge thinning. The experimental result demonstrates that the effect of the edge detection is greatly improved comparing with the traditional edge detection methods.

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Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

467-471

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.467

Citation:

Cite this paper

Online since:

May 2011

Authors:

Ke Fei Wang

Keywords:

Clustering Algorithm, Sobel Operator, Thresholding

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