Straight-line-based primitive extraction in grey-scale object recognition
| Autor: | Sergey Ablameyko, Dmitry Lagunovsky |
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| Rok vydání: | 1999 |
| Předmět: |
Relation (database)
business.industry Computer science Cognitive neuroscience of visual object recognition Pattern recognition Image segmentation Grey scale Thresholding Edge detection Line segment Artificial Intelligence Signal Processing Line (geometry) Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/s0167-8655(99)00067-7 |
| Popis: | A method for extraction of straight-line-based primitives is proposed. It is based on a bottom-up approach that extracts linear primitives first, then line segments, that are grouped in straight lines. Based on the extracted lines, quadrangles are detected and further approximated by rectangles. The extracted primitives are used in object recognition. The proposed approach provides a good relation between the complexity of extracted primitives and the complexity of algorithm itself, that allows it to be used in industrial applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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