An automated inspection system for textile fabrics based on Gabor filters
Robotics and Computer-Integrated Manufacturing
Learning to detect aircraft at low resolutions
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
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Detection involves locating all candidate regions of interest (objects) in a scene independent of the object class with object distortions and contrast differences, etc., present. It is one of the most formidable problems in automatic target recognition, since it involves analysis of every local scene region. We consider new detection algorithms and the fusion of their outputs to reduce the probability of false alarm PFA while maintaining high probability of detection PD. Emphasis is given to detecting obscured targets in infrared imagery