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 | |
| 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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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