Matching contours in images through the use of curvature, distance to centroid and global optimization with order-preserving constraint
This paper presents a new methodology to establish the best global match of objects' contours in images. The first step is the extraction of the sets of ordered points that define the objects' contours. Then, by using the curvature value and its distance to the corresponded centroid for ea...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2009
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| Texto completo: | https://repositorio-aberto.up.pt/handle/10216/43404 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/43404 |