Test Methods Research of Cracks in Ceramics Based on Genetic Algorithm

Bing Xiang Liu; Feng Qin Wang; Xu Dong Wu; Ying Xi Li

doi:10.4028/www.scientific.net/AMR.977.25

Paper Titles

Research on Material Selection Construction Method Construction Technology with the High-Support Formwork Construction of NingBo Cultrural Plaza Grand
p.7

Orthogonal Experimental Study on the Mixing Proportion of Reactive Powder Concrete
p.10

The Feature of Symmetric Frames and Two-Directional Vector Wavelets and Applications in Material Science
p.15

The Research of Dual Quarternary Pseudoframes for Hardy Space and Applications in Engineering Materials
p.19

Test Methods Research of Cracks in Ceramics Based on Genetic Algorithm
p.25

Application of Synthetic Substitute Materials on Reconstruction of Anterior Cruciate Ligament of Knee Joint in Exercise-Induced Injury
p.30

Composition Limy Binder with the Use of the Synthesized Aluminosilicates for Dry Construction Blends
p.34

Composite Nondestructive Testing Technology
p.38

Identification of Soluble Organic Compounds from Shengli Lignite in Toluene/Ethanol Mixed Solvent
p.42

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 977Test Methods Research of Cracks in Ceramics Based...

Test Methods Research of Cracks in Ceramics Based on Genetic Algorithm

Abstract:

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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 977)

Pages:

25-29

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.977.25

Citation:

Cite this paper

Online since:

June 2014

Authors:

Bing Xiang Liu*, Feng Qin Wang, Xu Dong Wu, Ying Xi Li

Keywords:

Cracks in Ceramic, Genetic Algorithm (GA), Image Segmentation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] The national building materials testing center. Building ceramic and dimension stone detection techniques[M]. Beijing: China Measurement Press, (2010).

Google Scholar

[2] Chu qingyu. The application of MATLAB to image process[J]. Information Technology and Informatization, 2010(55): 56～62.

Google Scholar

[3] Zhang defeng. MATLAB Digital Image Processing [M]. Beijing: Machinery Industry Press, (2009).

Google Scholar

[4] Huang fei. Image segmentation based on genetic algorithm [D]. Wuhan University of Science and Technology, (2008).

Google Scholar

[5] Lei yingjie. Matlab genetic algorithm toolbox and its application [M]. Xi'an: Xi'an Electronic and Science Press, (2005).

Google Scholar

[6] Wang xiaoping. Theoretical application and software implementation based on genetic algorithm[M]. Xi'an: Xi'an Jiaotong University Press, (2002).

Google Scholar