Use of Local Characteristics of Self-Similarity of Digital Images for Solving the Problems of Crack Detection
The task of analyzing digital images on the basis of local characteristics of self-similarity is considered in this article. The algorithm of forming fractal characteristics of images and the detection algorithm, which can be used to solve the problems of task detection, are described. The results o...
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| Veröffentlicht in: | Applied Mechanics and Materials 2015-04, Vol.756 (Mechanical Engineering, Automation and Control Systems), p.704-708 |
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| container_issue | Mechanical Engineering, Automation and Control Systems |
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| container_title | Applied Mechanics and Materials |
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| creator | Privezentsev, D.G. Zhiznyakov, A.L. |
| description | The task of analyzing digital images on the basis of local characteristics of self-similarity is considered in this article. The algorithm of forming fractal characteristics of images and the detection algorithm, which can be used to solve the problems of task detection, are described. The results of studying the possibility of distributing the self-similarity in the problems of crack-detection are given |
| doi_str_mv | 10.4028/www.scientific.net/AMM.756.704 |
| format | Article |
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| ispartof | Applied Mechanics and Materials, 2015-04, Vol.756 (Mechanical Engineering, Automation and Control Systems), p.704-708 |
| issn | 1660-9336 1662-7482 1662-7482 |
| language | eng |
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| source | Scientific.net Journals |
| subjects | Algorithms Digital Distributing Fractal analysis Fracture mechanics Image detection Self-similarity Tasks |
| title | Use of Local Characteristics of Self-Similarity of Digital Images for Solving the Problems of Crack Detection |
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