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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Talbar, S.N. Holambe, R.S. Sontakke, T.R. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Electron. & Comput. Sci. & Eng., SGGS Coll. of Eng. & Technol., Vishnupuri, India (Talbar, S.N.) |
| Abstract | A multiresolution approach based on the wavelet transform for texture classification has been proposed in this paper. The orthogonal and compactly supported wavelets are used to characterise texture images at multiple scales. The QMF bank is used as the wavelet transform to decompose the texture into sub-bands. The set of features, derived from the statistics based on first order distribution of gray levels, are then extracted from each sub-band image. It is shown that the multilayer perceptron with error back propagation algorithm increases the separability of features and gives better classification as compared to the minimum distance classifier. |
| Starting Page | 1177 |
| Ending Page | 1180 |
| File Size | 363983 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780343255 |
| DOI | 10.1109/ICOSP.1998.770827 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Image texture analysis Statistics Image analysis Feature extraction Gabor filters Humans Computer vision Image segmentation Biological system modeling |
| Content Type | Text |
| Resource Type | Article |
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