An efficient wood image retrieval using SURF descriptor
In this paper, we propose a new and effective wood image retrieval scheme based on Speeded Up Robust Features (SURF). In our work, we extract SURF feature points and perform matching based on the texture information around the feature points using SURF method. This scheme can be adopted in most exis...
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| creator | ShaoLi Huang Cheng Cai FengFu Zhao DongJian He Yang Zhang |
| description | In this paper, we propose a new and effective wood image retrieval scheme based on Speeded Up Robust Features (SURF). In our work, we extract SURF feature points and perform matching based on the texture information around the feature points using SURF method. This scheme can be adopted in most existing wood image retrieval systems and improve their retrieval accuracy and efficiency. Our several experiments show that the proposed scheme achieves high accuracy and stability by using SURF descriptor in wood image retrieval. |
| doi_str_mv | 10.1109/ICTM.2009.5413007 |
| format | Conference Proceeding |
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| ispartof | 2009 International Conference on Test and Measurement, 2009, Vol.2, p.55-58 |
| issn | 2157-5592 |
| language | eng |
| recordid | cdi_ieee_primary_5413007 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Asia content based image retrieval Content based retrieval Data mining Educational institutions Electronic equipment testing Face detection feature point Image retrieval Mechanical variables measurement Robustness Space technology SURF Wood image retrieval |
| title | An efficient wood image retrieval using SURF descriptor |
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