CONTEXT: a technique for image retrieval integrating CONtour and TEXTure information
Many intrinsically 2-dimensional visual signals can be effectively encoded in a 1-D form. This simpler representation is well-suited to both pattern recognition and image retrieval tasks. This paper deals with contour and texture, combined together in order to obtain an effective technique for conte...
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| creator | Casanova, A. Fraschini, M. Vitulano, S. |
| description | Many intrinsically 2-dimensional visual signals can be effectively encoded in a 1-D form. This simpler representation is well-suited to both pattern recognition and image retrieval tasks. This paper deals with contour and texture, combined together in order to obtain an effective technique for content based image indexing. The data used for experimentally assessing CONTEXT were contours and textures from various application domains. The experiments reveal a high discriminating power which in turn yields a high perceived quality of the retrieval results. |
| doi_str_mv | 10.1109/SIBGRA.2002.1167188 |
| format | Conference Proceeding |
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| ispartof | Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing, 2002, p.416 |
| issn | 1530-1834 2377-5416 |
| language | eng |
| recordid | cdi_ieee_primary_1167188 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biomedical imaging Engines Feature extraction Image converters Image databases Image retrieval Indexing Information retrieval Pattern recognition Shape |
| title | CONTEXT: a technique for image retrieval integrating CONtour and TEXTure information |
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