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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kawewong, A. Hasegawa, O. |
| Copyright Year | 2005 |
| Description | Author affiliation: Lab. of Imaging Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan (Kawewong, A.; Hasegawa, O.) |
| Abstract | We introduced a new approach to classify 3D texture images based on output selection from two classification methods. For a set of real-world textured images, we found that, using classification based only on texture information, some images obtained under unknown conditions appeared to have similar surfaces and could not be recognized correctly. Another classification method, based on color information, was therefore performed in parallel to solve such a problem. Some knowledge is required to efficiently select outputs from texture-based classification (TBC) and color-based classification (CBC). Reliability tables (RT), created in the pre-testing stage (PTS) of system training, are proposed to obtain that knowledge. Performance is evaluated by employing over 5600 texture images corresponding to 61 real-world surface samples extracted from the Columbia-Utrecht reflectance and texture (CUReT) database K.J. Dana et al., 1999. Our experiments produce better classification results than those in M. Varma and A. Zisserman (2005), which are the best results available to date. |
| File Size | 345664 |
| File Format | |
| ISBN | 0780391349 |
| DOI | 10.1109/ICIP.2005.1530309 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filters Data mining Surface texture Dictionaries Reliability engineering Laboratories Image recognition Reflectivity Image databases Lighting Color-Based Classification (CBC) 3D Textons 3D Colortons Reliability Table Pre-Testing Stage(PTS) Texture-Based Classification(TBC) |
| Content Type | Text |
| Resource Type | Article |
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