Name
Title | ||
|---|---|---|
A Neural Network Algorithm For Detecting Invisible Concrete Surface Cracks In Near-Field Millimeter-Wave Images |
Abstract | ||
|---|---|---|
Using near-field millimeter-wave imaging, we have developed a nondestructive inspection tool called "Crack Scan" to detect concrete surface cracks of sub-millimeter width. In this paper, we propose a new image-processing algorithm based on a cross-coupled neural network, which enables Crack Scan to detect invisible cracks in blurred images. We demonstrate that our algorithm can detect a 0.2-mm-wide crack under a ceramic tile on-site. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5346623 | 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 |
Keywords | Field | DocType |
Millimeter-wave imaging, neural network, crack detection, nondestructive inspection | Ceramic,Object detection,Computer vision,Extremely high frequency,Computer science,Surface wave,Near and far field,Artificial intelligence,Artificial neural network,Tile | Conference |
ISSN | Citations | PageRank |
1062-922X | 1 | 0.40 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soichi Oka | 1 | 1 | 0.40 |
| Shoji Mochizuki | 2 | 3 | 0.87 |
| Hiroyoshi Togo | 3 | 6 | 2.95 |
| Naoya Kukutsu | 4 | 10 | 6.15 |