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Weld Seam Edge Detection Based 2D Maximum between-Cluster Variance and Genetic Algorithm

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Abstract:

For welding image after pretreatment, First, GAP predictor templates predict error image,using the 2D Maximum Between· cluster Variance (OTSU) method combined with improved genetic algorithm to calculate the threshold ,Then classified errors image edge, weld image edge was extract. Experiments show that the method to detect the weld image edge not only decrease the time complexity, but also get the clearer edges, more details, and better visual image.

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Periodical:

Applied Mechanics and Materials (Volumes 608-609)

Pages:

3-6

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.608-609.3

Citation:

Cite this paper

Online since:

October 2014

Authors:

Xiang Ying Dang*

Keywords:

Genetic Algorithm (GA), Gradient Adjusting Predictor (GAP), Otsu, Weld Seam Image

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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