Use of Local Characteristics of Self-Similarity of Digital Images for Solving the Problems of Crack Detection

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
Hauptverfasser: Privezentsev, D.G., Zhiznyakov, A.L.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Digital
Distributing
Fractal analysis
Fracture mechanics
Image detection
Self-similarity
Tasks
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Zusammenfassung: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
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.756.704