| dc.contributor.author | Kvуetnyy, R. | en |
| dc.contributor.author | Bunyak, Yu. | en |
| dc.contributor.author | Sofina, O. | en |
| dc.contributor.author | Kotsiubynskyi, V. | en |
| dc.contributor.author | Bezstmertna, O. | en |
| dc.contributor.author | Shevchenko, L. | en |
| dc.contributor.author | Kotyra, A. | en |
| dc.contributor.author | Yeraliyeva, B. | en |
| dc.contributor.author | Квєтний, Р. Н. | uk |
| dc.contributor.author | Коцюбинський, В. Ю. | uk |
| dc.contributor.author | Безсмертна, О. В. | uk |
| dc.contributor.author | Софіна, О. Ю. | uk |
| dc.date.accessioned | 2023-01-18T14:09:22Z | |
| dc.date.available | 2023-01-18T14:09:22Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Kvуetnyy R., Bunyak Yu., Sofina O., Kotsiubynskyi V., Bezstmertna O., Shevchenko L., Kotyra A., Yeraliyeva B. Inverse correlation filters of objects features with optimized regularization for image processing. Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 124760Q (12 December 2022). URL: https://doi.org/10.1117/12.2664497. | en |
| dc.identifier.uri | http://ir.lib.vntu.edu.ua//handle/123456789/36177 | |
| dc.description.abstract | The problem of extraction of the image objects features by means of using the inverse filters (IF) is considered. The IF
are formed by the inversion of the matrix composed of correlation vectors of a set of objects templates examples. The
inversion is made with the help of singular value decomposition. Three approaches to regularization and its impact on IF
recognition properties are also considered. There was defined the functional that specifies minimal mutual relations
between functions of the filters to obtain optimal separation of the features. A training process is used in order to obtain
filters with high recognition performance. | en |
| dc.language.iso | en | en |
| dc.publisher | Society of Photo-Optical Instrumentation Engineers | en |
| dc.relation.ispartof | Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 124760Q (12 December 2022) | en |
| dc.relation.uri | https://doi.org/10.1117/12.2664497 | |
| dc.subject | inverse filters | en |
| dc.subject | correlation filters | en |
| dc.subject | objects feature recognition | en |
| dc.subject | regularization | en |
| dc.title | Inverse correlation filters of objects features with optimized regularization for image processing | en |
| dc.type | Article | |
| dc.identifier.doi | https://doi.org/10.1117/12.2664497 | |
