Сегментация изображений адаптированным алгоритмом обезьян на основе К-средних
| Parent link: | Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов IV Международной научной конференции, 5-8 декабря 2017 г., Томск/ Национальный исследовательский Томский политехнический университет (ТПУ).— , 2017 Ч. 1.— 2017.— [С. 152-155] |
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| Summary: | Заглавие с титульного экрана The article presents theoretical development of adaptation of the monkey algorithm based on k - means. Segmentation of images and the work of genetic algorithms are considered. The analysis of the shortcomings of the k-means algorithm is carried out. The advantages and disadvantages of using this approach to image segmentation are revealed. The novelty is the use of the monkey algorithm for image segmentation. The article draws conclusions about the prospects of research in this direction and suggests the possibilities of using the results of the work. |
| Language: | Russian |
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2017
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| Series: | Информационные системы и технологии |
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| Online Access: | http://earchive.tpu.ru/handle/11683/46219 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=626019 |
| Summary: | Заглавие с титульного экрана The article presents theoretical development of adaptation of the monkey algorithm based on k - means. Segmentation of images and the work of genetic algorithms are considered. The analysis of the shortcomings of the k-means algorithm is carried out. The advantages and disadvantages of using this approach to image segmentation are revealed. The novelty is the use of the monkey algorithm for image segmentation. The article draws conclusions about the prospects of research in this direction and suggests the possibilities of using the results of the work. |
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