| Título |
Wavelet transforms and neural network applied to image retrieval |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
IEEE; 18th. International Conference on Pattern Recognition ICPR 2006 |
| Resumen |
We face the problem of retrieving images from a database. During training a wavelet-based description of each image is first obtained using a Daubechies 4-wavelet transformation. Resulting coefficients are used to train a neural network (NN). During retrieval, a given image is presented to the already trained NN. The system responds with the most similar images. Three different ways to obtain the coefficients of the wavelet transform are tested: from the entire image, from the histogram of the biggest circular window inside the image color channels, and from the histograms of square sub-images in the image channels of the original image. 120 color images of airplanes were used for training and 240 for testing. The best efficiency of 88% was obtained with the third description method |
| Observaciones |
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on (Volume:2 ) |
| Lugar |
Hong Kong |
| País |
China |
| No. de páginas |
909 - 912 |
| Vol. / Cap. |
2 |
| Inicio |
2006-01-01 |
| Fin |
|
| ISBN/ISSN |
0-7695-2521-0 |
