Использование перестраиваемой вычислительной среды для классификации бинарного изображения А. С. Бондарчук, Д. В. Шашев
Material type:
ArticleContent type: Текст Media type: электронный Other title: Using a reconfigurable computing environment to classify a binary image [Parallel title]Subject(s): системы технического зрения | обработка изображений | дескрипторы | бинарные изображенияGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
Инноватика-2021 : сборник материалов XVII Международной школы-конференции студентов, аспирантов и молодых ученых, 22-23 апреля 2021 г., г. Томск, Россия С. 109-112Abstract: The article outlines a new approach to constructing a feature vector for implementation on computers with a parallel pipeline architecture. The feature vector consists of the calculated characteristics of the gradient of a binary image (binary gradient) by analogy with the operation of the HOG algorithm. The proposed algorithm detects features of the contour pixels of objects in a binary image, which are further used for pattern recognition.
Библиогр.: 5 назв.
The article outlines a new approach to constructing a feature vector for implementation on computers with a parallel pipeline architecture. The feature vector consists of the calculated characteristics of the gradient of a binary image (binary gradient) by analogy with the operation of the HOG algorithm. The proposed algorithm detects features of the contour pixels of objects in a binary image, which are further used for pattern recognition.
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