Name
Title | ||
|---|---|---|
Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification. |
Abstract | ||
|---|---|---|
Local binary pattern (LBP) is a simple, yet efficient coding model for extracting texture features. To improve texture classification, this paper designs a median sampling regulation, defines a group of gradient LBP (gLBP) descriptors, proposes a training-based feature model mapping method, and then develops a texture classification frame using the multiresolution feature fusion of four gLBP descr... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2748500 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Image resolution,Feature extraction,Histograms,Robustness,Training,Computational modeling,Cybernetics | Histogram,Local binary patterns,Robustness (computer science),Feature model,Artificial intelligence,Computer vision,Pattern recognition,Feature extraction,Sampling (statistics),Pixel,Gaussian noise,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 9 | 2168-2267 |
Citations | PageRank | References |
2 | 0.36 | 40 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luping Ji | 1 | 149 | 10.31 |
| Yan Ren | 2 | 71 | 9.07 |
| Guisong Liu | 3 | 42 | 12.84 |
| Xiaorong Pu | 4 | 85 | 11.17 |