Parameter space normalization in General Hough transform
The paper considers an issue of object registration in the image through the generalized Hough transform with uncompensated geometric distortions being available. It proposes the method of geometric distortion correction and the method of parameter space normalization. The paper shows that the propo...
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Format: | Article |
Language: | Russian |
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MGTU im. N.È. Baumana
2014-01-01
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Series: | Nauka i Obrazovanie |
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Online Access: | http://technomag.edu.ru/jour/article/view/533 |
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author | A. V. Bobkov |
author_facet | A. V. Bobkov |
author_sort | A. V. Bobkov |
collection | DOAJ |
description | The paper considers an issue of object registration in the image through the generalized Hough transform with uncompensated geometric distortions being available. It proposes the method of geometric distortion correction and the method of parameter space normalization. The paper shows that the proposed algorithms require a relatively small amount of computations, but significantly improve the reliability of object detection. The paper may be of interest to professionals working in the field of pattern recognition as well as to graduate and undergraduate students attending lectures on the pattern recognition. |
first_indexed | 2024-04-11T23:50:58Z |
format | Article |
id | doaj.art-5d487e09cf4d4af0b9f301a5b5077caa |
institution | Directory Open Access Journal |
issn | 1994-0408 |
language | Russian |
last_indexed | 2024-04-11T23:50:58Z |
publishDate | 2014-01-01 |
publisher | MGTU im. N.È. Baumana |
record_format | Article |
series | Nauka i Obrazovanie |
spelling | doaj.art-5d487e09cf4d4af0b9f301a5b5077caa2022-12-22T03:56:29ZrusMGTU im. N.È. BaumanaNauka i Obrazovanie1994-04082014-01-010228829810.7463/0214.0697554533Parameter space normalization in General Hough transformA. V. Bobkov0Bauman Moscow State Technical UniversityThe paper considers an issue of object registration in the image through the generalized Hough transform with uncompensated geometric distortions being available. It proposes the method of geometric distortion correction and the method of parameter space normalization. The paper shows that the proposed algorithms require a relatively small amount of computations, but significantly improve the reliability of object detection. The paper may be of interest to professionals working in the field of pattern recognition as well as to graduate and undergraduate students attending lectures on the pattern recognition.http://technomag.edu.ru/jour/article/view/533object registrationgeneralised Hough transform |
spellingShingle | A. V. Bobkov Parameter space normalization in General Hough transform Nauka i Obrazovanie object registration generalised Hough transform |
title | Parameter space normalization in General Hough transform |
title_full | Parameter space normalization in General Hough transform |
title_fullStr | Parameter space normalization in General Hough transform |
title_full_unstemmed | Parameter space normalization in General Hough transform |
title_short | Parameter space normalization in General Hough transform |
title_sort | parameter space normalization in general hough transform |
topic | object registration generalised Hough transform |
url | http://technomag.edu.ru/jour/article/view/533 |
work_keys_str_mv | AT avbobkov parameterspacenormalizationingeneralhoughtransform |