Abstract | ||
---|---|---|
A study on image texture segmentation is presented, utilizing the multichannel amplitude responses. The multichannel filters are designed through the use of a modulated “wavelet” multiresolution decomposition, providing both spatial frequency and orientation selectivity. The potential of this approach is shown by experimental results |
Year | DOI | Venue |
---|---|---|
1998 | 10.1109/3468.709624 | IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans |
Keywords | Field | DocType |
texture segmentation,associated h,multichannel filters,multichannel amplitude response,multiresolution information,wavelet transforms,corresponding wavelet coefficient,image segmentation,smooth signal,modulated wavelet,modulated wavelets,standard wavelet,orientation selectivity,filtering theory,image texture,spatial frequency,multichannel amplitude responses,multichannel filter,multiresolution decomposition,textured image,indexing terms,frequency modulation,lighting,wavelet transform,spatial resolution,surface texture,image resolution | Computer vision,Pattern recognition,Image texture,Computer science,Multiresolution analysis,Image segmentation,Artificial intelligence,Amplitude modulation,Image resolution,Spatial frequency,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
28 | 5 | 1083-4427 |
Citations | PageRank | References |
2 | 0.38 | 21 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsi-Chin Hsin | 1 | 73 | 12.34 |
Ching-chung Li | 2 | 383 | 65.47 |