Name
Abstract | ||
|---|---|---|
Infrared images are usually subject to low contrast, edge blurring, and high noise. Especially for machinery diagnosis, the range of temperature variation is narrow, which causes the difficulty to diagnose different equipment conditions directly from infrared images. To enhance fault-related information extraction and improve diagnosis accuracy, a new infrared image analysis method based on nonsub... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIM.2016.2579440 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Feature extraction,Transforms,Image enhancement,Fault diagnosis,Machinery,Image analysis,Image edge detection | Computer vision,Dimensionality reduction,Pattern recognition,Fuzzy logic,Feature extraction,Rotor (electric),Information extraction,Artificial intelligence,Infrared,Entropy (information theory),Contourlet,Mathematics | Journal |
Volume | Issue | ISSN |
65 | 10 | 0018-9456 |
Citations | PageRank | References |
1 | 0.35 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tangbo Bai | 1 | 11 | 1.89 |
| Laibin Zhang | 2 | 95 | 15.52 |
| Lixiang Duan | 3 | 2 | 1.04 |
| jinjiang wang | 4 | 89 | 7.64 |