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

Результат исследований: Материалы для журналаСтатьярецензирование

4 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Страницы (с-по)644-651
Число страниц8
ЖурналRussian Journal of Nondestructive Testing
Том51
Номер выпуска10
DOI
СостояниеОпубликовано - 1 окт 2015

ASJC Scopus subject areas

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

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