Сучасні тенденції у вирішенні задач виявлення та розпізнавання об′єктів на зображеннях
In the field of image analysis, the desire to create sufficiently universal and at the same time substantially adequate models and procedures for various applications has led to the emergence of various methods of modern computer vision. The paper considers modern approaches to the analysis and reco...
Збережено в:
| Дата: | 2017 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Vinnytsia National Technical University
2017
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| Теми: | |
| Онлайн доступ: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/461 |
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| Назва журналу: | Optoelectronic Information-Power Technologies |
Репозитарії
Optoelectronic Information-Power Technologies| Резюме: | In the field of image analysis, the desire to create sufficiently universal and at the same time substantially adequate models and procedures for various applications has led to the emergence of various methods of modern computer vision. The paper considers modern approaches to the analysis and recognition of images that encompass a group of methods for recognizing images without a teacher. In particular, the main features of the methods of searching and recognizing objects on images based on correlation and morphological analysis are analyzed. |
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