A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image

S. E. Vorobeichikov, V. A. Fokin, Victor Anatolievich Udod, A. K. Temnik

Research output: Contribution to journal › Article

Abstract

The mathematical model of a digital radiation image is given that corresponds to a test object that contains two types of defects, namely, pores and cracks (or non-penetrating defects). Two algorithms for automatic image recognition of these defects on a digital radiation image of an object are given. The effectiveness of the algorithms was evaluated via mathematical simulation.

Original language	English
Pages (from-to)	644-651
Number of pages	8
Journal	Russian Journal of Nondestructive Testing
Volume	51
Issue number	10
DOIs	https://doi.org/10.1134/S1061830915100101
Publication status	Published - 1 Oct 2015

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Keywords

defects
digital radiation image
recognition algorithms
test object

ASJC Scopus subject areas

Materials Science(all)
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering

Cite this

Vorobeichikov, S. E., Fokin, V. A., Udod, V. A., & Temnik, A. K. (2015). A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image. Russian Journal of Nondestructive Testing, 51(10), 644-651. https://doi.org/10.1134/S1061830915100101

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Access to Document

10.1134/S1061830915100101