Abstract | ||
---|---|---|
We describe the physical-optics modelling of a millimetre-wave imaging system intended to enable automated detection of threats hidden under clothes. This paper outlines the theoretical basis of the formation of millimetre-wave images and provides the model of the simulated imaging system. Results of simulated images are presented and the validation with real ones is carried out. Finally, we present a brief study of the potential materials to be classified in this system. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1016/j.patrec.2006.02.002 | Pattern Recognition Letters |
Keywords | Field | DocType |
image simulation,automated detection,physical-optics modelling,kolmogorov–smirnov test,millimetre-wave image,millimetre-wave,millimetre-wave personnel scanner,simulated image,brief study,kolmogorov-smirnov test,material classification,image formation,simulated imaging system,millimetre-wave imaging system,theoretical basis,physical optic,potential material,kolmogorov smirnov test,physical optics | Computer vision,Material classification,Image formation,Kolmogorov–Smirnov test,Artificial intelligence,Millimetre wave,Physical optics,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 15 | Pattern Recognition Letters |
Citations | PageRank | References |
1 | 0.40 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Beatriz Grafulla-González | 1 | 3 | 0.78 |
Katia Lebart | 2 | 3 | 0.78 |
Andrew R. Harvey | 3 | 3 | 1.12 |