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; Vol. 51, iss. 10
| Parent link: | Russian Journal of Nondestructive Testing Vol. 51, iss. 10.— 2015.— [P. 644-651] |
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| Institution som forfatter: | |
| Andre forfattere: | , , , |
| Summary: | Title screen 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 nonpenetrating 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. Режим доступа: по договору с организацией-держателем ресурса |
| Sprog: | engelsk |
| Udgivet: |
2015
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| Serier: | X-Ray Methods |
| Fag: | |
| Online adgang: | http://dx.doi.org/10.1134/S1061830915100101 |
| Format: | Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646290 |