Title :
Use of fractal signs of digital images for detection of surface defects
Author :
Zhiznyakov, A.L. ; Privezentsev, D.G. ; Pugin, E.V.
Author_Institution :
Fed. State Budgetary Educ. Instn. of Higher Prof. Educ., Murom Inst., Vladimir State Univ. named after Alexander Grigoryevich & Nikolay Grigoryevich Stoletovs, Vladimir, Russia
Abstract :
The present paper concerns the problem of the analysis of digital images based on local signs of self-similarity is considered. The algorithm of formation of fractal signs of images and the algorithm of detection of unrepresentative sections of the image, which in particular can be used for the solution of tasks of defectoscopy, are described. Results of researches of possibility of use of distribution of self-similarity are given in defectoscopy tasks.
Keywords :
fractals; image sensors; surface topography measurement; defectoscopy; digital image analysis; fractal sign; surface defect detection; unrepresentative section detection; Fractals;
Conference_Titel :
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-412-5
DOI :
10.1109/CRMICO.2014.6959446
