Name
Abstract | ||
|---|---|---|
This paper proposes an image retrieval technique using local texture feature based on Fourier transform. The proposed texture feature not only more effectively represents spatial correlation of texture pattern but also contains less feature vector size over existing ones. In experimental results, the proposed method has shown improved retrieval results over the existing methods. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TCE.2009.5278020 | IEEE Trans. Consumer Electronics |
Keywords | Field | DocType |
feature extraction,indexing,image texture,fourier transform,moon,image retrieval,fourier transforms,pixel,data mining,flowcharts,spatial correlation,feature vector,information technology | Computer vision,Texture compression,Feature vector,Pattern recognition,Feature (computer vision),Image texture,Computer science,Image retrieval,Search engine indexing,Feature extraction,Artificial intelligence,Texture filtering | Journal |
Volume | Issue | ISSN |
55 | 3 | 0098-3063 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ki Tae Park | 1 | 24 | 6.23 |
| Jeong Ho Lee | 2 | 4 | 2.14 |
| Young Shik Moon | 3 | 110 | 16.82 |