Name
Title | ||
|---|---|---|
Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification. |
Abstract | ||
|---|---|---|
•A noise-robust median sampling for median local ternary pattern (MLTP).•Three MLTP descriptors: MLTP_C, MLTP_R, and MLTP_M, are defined.•Rotation-invariant uniform three (riu3) mapping to optimize MLTP from 3P to 3P.•Multi-scale joint feature classification framework of MLTP_CRM is developed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2018.02.009 | Pattern Recognition |
Keywords | Field | DocType |
Noisy texture classification,Median local ternary pattern,Rotation-invariant uniform-three mapping,Multi-scale joint distribution | Local ternary patterns,Histogram,Lookup table,Feature vector,Pattern recognition,Support vector machine,Robustness (computer science),Pixel,Artificial intelligence,Classifier (linguistics),Mathematics | Journal |
Volume | Issue | ISSN |
79 | 1 | 0031-3203 |
Citations | PageRank | References |
2 | 0.37 | 36 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luping Ji | 1 | 149 | 10.31 |
| Yan Ren | 2 | 71 | 9.07 |
| Xiaorong Pu | 3 | 85 | 11.17 |
| Guisong Liu | 4 | 42 | 12.84 |