Abstract | ||
---|---|---|
This paper proposes an efficient solution to the problem of per-pixel classification of textured images with multichannel Gabor wavelet filters based on a selection scheme that automatically determines a subset of prototypes that characterize each texture class. Results with Brodatz compositions and outdoor images, and comparisons with alternative classification techniques are presented. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/s10044-007-0097-3 | Pattern Anal. Appl. |
Keywords | Field | DocType |
gabor wavelet filter,textured image,selection scheme,efficient solution,texture class,efficient distance-based per-pixel texture,outdoor image,multichannel gabor wavelet,texture per-pixel texture classification non-parametric distance-based classification multichannel gabor wavelet filters prototype selection,brodatz composition,per-pixel classification,alternative classification technique,gabor wavelets | Iterative reconstruction,Computer vision,Pattern recognition,Gabor wavelet,Image processing,Gabor filter,Pixel,Artificial intelligence,Contextual image classification,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 3-4 | 1433-755X |
Citations | PageRank | References |
6 | 0.45 | 10 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jaime Melendez | 1 | 54 | 7.33 |
Miguel Angel Garcia | 2 | 154 | 12.86 |
Domenec Puig | 3 | 332 | 54.33 |