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 |
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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
A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image. / Vorobeichikov, S. E.; Fokin, V. A.; Udod, Victor Anatolievich; Temnik, A. K.
In: Russian Journal of Nondestructive Testing, Vol. 51, No. 10, 01.10.2015, p. 644-651.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A study of two image-recognition algorithms for the classification of flaws in a test object according to its digital image
AU - Vorobeichikov, S. E.
AU - Fokin, V. A.
AU - Udod, Victor Anatolievich
AU - Temnik, A. K.
PY - 2015/10/1
Y1 - 2015/10/1
N2 - 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.
AB - 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.
KW - defects
KW - digital radiation image
KW - recognition algorithms
KW - test object
UR - http://www.scopus.com/inward/record.url?scp=84949960975&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949960975&partnerID=8YFLogxK
U2 - 10.1134/S1061830915100101
DO - 10.1134/S1061830915100101
M3 - Article
AN - SCOPUS:84949960975
VL - 51
SP - 644
EP - 651
JO - Russian Journal of Nondestructive Testing
JF - Russian Journal of Nondestructive Testing
SN - 1061-8309
IS - 10
ER -