Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Oksana Shkurat"'
Autor:
Oksana Shkurat
Publikováno v:
Grail of Science. :351-355
Description of initial raster image objects by a set of contour vertices coordinates leads to increase efficiency of the retrieval, classification and recognition of graphical data in information systems. In this paper the smoothed contour detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca2659f15d3ade0de18d6a792deda299
https://doi.org/10.36074/grail-of-science.27.05.2022.062
https://doi.org/10.36074/grail-of-science.27.05.2022.062
Autor:
Oksana Shkurat
Publikováno v:
GRUNDLAGEN DER MODERNEN WISSENSCHAFTLICHEN FORSCHUNG.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d732aceb90aa00c20d73a869d25f22b5
https://doi.org/10.36074/logos-12.08.2022.32
https://doi.org/10.36074/logos-12.08.2022.32
Autor:
Oksana Shkurat
Publikováno v:
DÉBATS SCIENTIFIQUES ET ORIENTATIONS PROSPECTIVES DU DÉVELOPPEMENT SCIENTIFIQUE.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8a992895b0bcf8c5ef8d71775af26c
https://doi.org/10.36074/logos-08.07.2022.047
https://doi.org/10.36074/logos-08.07.2022.047
Publikováno v:
International Journal of Intelligent Systems and Applications. 10:14-22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c362a7dc46c179756ea38f6e7a112a74
https://doi.org/10.5815/ijisa.2018.05.02
https://doi.org/10.5815/ijisa.2018.05.02
Autor:
Yevgeniya Sulema, Ivan Dychka, Oksana Shkurat, Yevgen Radchenko, Viktoriya Suschuk-Sliusarenko
Publikováno v:
Advances in Artificial Systems for Medicine and Education II ISBN: 9783030120818
This paper presents an advanced method of graphical data protection. The novelty of the proposed method consists in the use of bits correspondence scheme, Huffman tree, and specific data encoding based on variable length of color hue code. The stegan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b1aadd7b78795f61265480b85932317
https://doi.org/10.1007/978-3-030-12082-5_26
https://doi.org/10.1007/978-3-030-12082-5_26
Publikováno v:
Advances in Artificial Systems for Medicine and Education II ISBN: 9783030120818
In this paper, we present a new automatic method of image segmentation, which uses statistical parameters of a homogeneous data set. The method can be applied to image sets obtained from CT, MRI, ultrasound, and histological investigations. The resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fe2c5613dbb359c36ddcf13803a75ba
https://doi.org/10.1007/978-3-030-12082-5_25
https://doi.org/10.1007/978-3-030-12082-5_25
Publikováno v:
Наукові вісті КПІ : міжнародний науково-технічний журнал, 2018, № 3(119)
Проблематика. Оцінка форми об’єктів відеозображень є відносно складною задачею. При розв’язанні задачі геометричного подання об’єкт
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d3a481e4df7d015f84beff3da92dd1
https://ela.kpi.ua/handle/123456789/24581
https://ela.kpi.ua/handle/123456789/24581