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

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

Keywords

defects
digital radiation image
recognition algorithms
test object

ASJC Scopus subject areas

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

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10.1134/S1061830915100101

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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.",

keywords = "defects, digital radiation image, recognition algorithms, test object",

author = "Vorobeichikov, {S. E.} and Fokin, {V. A.} and Udod, {Victor Anatolievich} and Temnik, {A. K.}",

year = "2015",

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