Отрывок: 75 0.0078663 0.8788 0.0619 0.47 0.8667 0.0740 0.71 RMS 0.0275 10.63 0.0028337 0.0710 – 0.0435 0.08 0.1655 – 0.1380 0.13 min 0.8647 24.38 0.003537 0.6212 0.2435 0.31 0.3182 0.5464 0.44 class #3 (65 objects) max 0.9844 73.86 0.015681 0.9770 0.0075 0.69 0.9844 0.0000 0.93 mean 0.9483 56.90 0.007655 0.9358 0.0125 0.76 0.9426 0.0058 0.66 RMS 0.0204 7.10 0.0030141 0.0274 – 0.0070 0.11 0.0269 – 0.0065 0.15 min 0.8989 36.66 0.002582 0.8544 0.0446 0.53 0.8674 0.0315 0.48 class #4 (72 objec...
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Seredin, O.S. | - |
dc.contributor.author | Kushnir, O.A. | - |
dc.contributor.author | Fedotova, S.A. | - |
dc.date.accessioned | 2023-12-29 12:59:08 | - |
dc.date.available | 2023-12-29 12:59:08 | - |
dc.date.issued | 2022-12 | - |
dc.identifier | Dspace\SGAU\20231226\107748 | ru |
dc.identifier.citation | Seredin OS, Kushnir OA, Fedotova SA. Comparative analysis of reflection symmetry detection methods in binary raster images with skeletal and contour representations. Computer Optics 2022; 46(6): 921-928. DOI: 10.18287/2412-6179-CO-1115. | ru |
dc.identifier.uri | https://dx.doi.org/10.18287/2412-6179-CO-1115 | - |
dc.identifier.uri | http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Comparative-analysis-of-reflection-symmetry-detection-methods-in-binary-raster-images-with-skeletal-and-contour-representations-107748 | - |
dc.description.abstract | The study is a comparative analysis of two fast reflection symmetry axis detection methods: an algorithm to refine the symmetry axis found with a chain of skeletal primitives and a boundary method based on the Fourier descriptor. We tested the algorithms with binary raster images of plant leaves (FLAVIA database). The symmetry axis detection quality and performance indicate that both methods can be used to solve applied problems. Neither method demonstrated any significant advantage in terms of accuracy or performance. It is advisable to integrate both methods for solving real-life problems. | ru |
dc.description.sponsorship | This study was supported by the Russian Science Foundation, Grant No. 22-21-00575, https://rscf.ru/project/22-21-00575/. | ru |
dc.language.iso | en | ru |
dc.publisher | Самарский национальный исследовательский университет | ru |
dc.relation.ispartofseries | 46;6 | - |
dc.subject | binary raster image | ru |
dc.subject | reflection symmetry | ru |
dc.subject | Jaccard measure | ru |
dc.subject | Fourier descriptor | ru |
dc.title | Comparative analysis of reflection symmetry detection methods in binary raster images with skeletal and contour representations | ru |
dc.type | Article | ru |
dc.textpart | 75 0.0078663 0.8788 0.0619 0.47 0.8667 0.0740 0.71 RMS 0.0275 10.63 0.0028337 0.0710 – 0.0435 0.08 0.1655 – 0.1380 0.13 min 0.8647 24.38 0.003537 0.6212 0.2435 0.31 0.3182 0.5464 0.44 class #3 (65 objects) max 0.9844 73.86 0.015681 0.9770 0.0075 0.69 0.9844 0.0000 0.93 mean 0.9483 56.90 0.007655 0.9358 0.0125 0.76 0.9426 0.0058 0.66 RMS 0.0204 7.10 0.0030141 0.0274 – 0.0070 0.11 0.0269 – 0.0065 0.15 min 0.8989 36.66 0.002582 0.8544 0.0446 0.53 0.8674 0.0315 0.48 class #4 (72 objec... | - |
dc.classindex.scsti | 29.31.15, 29.33.43, 20.53.23 | - |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
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2412-6179_2022_46_6_921-928.pdf | 1.08 MB | Adobe PDF | Просмотреть/Открыть |
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