Test Methods Research of Cracks in Ceramics Based on Genetic Algorithm
Keyword(s):
In order to improve the reliability of cracks in ceramics test, this paper puts forward a target adaptive segmentation method used by genetic algorithm and maximum-variance algorithm in all classes. This proposed method makes some appropriate improvements about crossover and mutation in genetic algorithm. Besides, the fitness function draws merits of maximum-variance algorithm in all classes and turns the best value in image segmentation into corresponding optimization problem. The simulation results of experiment shows the method proposed shortens the searching time and strengthens anti-noise property during image segmentation and improves recognition rate of cracks in ceramics.
2014 ◽
Vol 998-999
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pp. 925-928
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2015 ◽
Vol 713-715
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pp. 1670-1674
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2013 ◽
Vol 380-384
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pp. 1189-1192
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2014 ◽
Vol 670-671
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pp. 1499-1502
2012 ◽
Vol 614-615
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pp. 1361-1366
Keyword(s):
2020 ◽
Vol 10
(7)
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pp. 1644-1653