Сегментация изображения с помощью программного средства MatLab; Информационные технологии в науке, управлении, социальной сфере и медицине
| Parent link: | Информационные технологии в науке, управлении, социальной сфере и медицине.— 2015.— [С. 227-229] |
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| Yazar: | |
| Müşterek Yazar: | |
| Özet: | Заглавие с титульного экрана In computer vision, image segmentation is the process of partitioning a digital image intomultiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/orchange the representation of an image into something that is more meaningful and easier to analyze. Imagesegmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely,image segmentation is the process of assigning a label to every pixel in an image such that pixels with thesame label share certain characteristics. The result of image segmentation is a set of segments that collectivelycover the entire image, or a set of contours extracted from the image. |
| Dil: | Rusça |
| Baskı/Yayın Bilgisi: |
2015
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| Seri Bilgileri: | Информационные системы и технологии |
| Konular: | |
| Online Erişim: | http://earchive.tpu.ru/handle/11683/17341 http://www.lib.tpu.ru/fulltext/c/2015/C24/101.pdf |
| Materyal Türü: | MixedMaterials Elektronik Kitap Bölümü |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=613815 |
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| 330 | |a In computer vision, image segmentation is the process of partitioning a digital image intomultiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/orchange the representation of an image into something that is more meaningful and easier to analyze. Imagesegmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely,image segmentation is the process of assigning a label to every pixel in an image such that pixels with thesame label share certain characteristics. The result of image segmentation is a set of segments that collectivelycover the entire image, or a set of contours extracted from the image. | ||
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