Name
Title | ||
|---|---|---|
Rapid-transform based rotation invariant descriptor for texture classification under non-ideal conditions |
Abstract | ||
|---|---|---|
Rapid-transform based descriptor is proposed for texture classification against rotation variations, illumination variations, as well as noise effect. The proposed descriptor is based on the local circular neighborhood and the local feature vector is obtained by means of Rapid-transform. The local feature vector is rotation invariant because of the cyclic shift invariance property of Rapid-transform. Combining several descriptors with different (N, R) parameters the spatial multiscale is obtained. Feature selection approach is designed to improve the classification accuracy and reduce the computing cost. The issue of noise is discussed and more robust descriptor based on Rapid-transform is introduced under noise condition. Texture classification experiments were carried out on the Brodatz and Outex databases, and promising results are obtained from those experiments. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patcog.2013.05.003 | Pattern Recognition |
Keywords | Field | DocType |
proposed descriptor,local feature vector,non-ideal condition,texture classification,noise effect,classification accuracy,local circular neighborhood,robust descriptor,noise condition,rotation invariant descriptor,texture classification experiment,feature selection approach,rift,cwt,sift,descriptor,dwt,dft | Scale-invariant feature transform,Feature vector,GLOH,Pattern recognition,Feature selection,Invariant (physics),Local binary patterns,Invariant (mathematics),Artificial intelligence,Mathematics,Machine learning,Cyclic shift | Journal |
Volume | Issue | ISSN |
47 | 1 | 0031-3203 |
Citations | PageRank | References |
11 | 0.47 | 39 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaorong Li | 1 | 47 | 5.47 |
| Jianping Li | 2 | 106 | 12.85 |
| Dapeng Gao | 3 | 72 | 4.00 |
| Bo Fu | 4 | 364 | 39.23 |