Name
Abstract | ||
|---|---|---|
By analyzing the character of necktie pattern and integrating image retrieval technology, a new approach to texture content-based image retrieval for necktie pattern is proposed in this paper. On the base of pattern extraction by color separation, Gabor wavelet transformation is used to extract pattern's eigenvector, an improved multiple-angle rotate-invariant similarity definition is presented. The experiment results are satisfying. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/NCM.2009.160 | NCM |
Keywords | Field | DocType |
image retrieval technology,color separation,gabor wavelet transformation,multiple-angle rotate-invariant similarity definition,content-based image retrieval,necktie pattern,wavelet transforms,experiment result,texture content-based image retrieval,pattern extraction,feature extraction,image retrieval,improved multiple-angle rotate-invariant similarity,texture,eigenvector,image texture,new approach,eigenvalues and eigenfunctions,content-based retrieval,image colour analysis,gabor wavelets,satisfiability,algorithm design and analysis,data mining,eigenvectors | Computer vision,Algorithm design,Pattern recognition,Computer science,Image texture,Gabor wavelet,Image retrieval,Feature extraction,Content based retrieval,Artificial intelligence,Content-based image retrieval,Wavelet transform | Conference |
ISBN | Citations | PageRank |
978-0-7695-3769-6 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Ying Liu | 1 | 6 | 2.06 |
| Zhigeng Pan | 2 | 1312 | 146.88 |
| Jinxiang Dong | 3 | 311 | 65.36 |