An algorithm is under development, which is based on the Triangle Orientation Discrimination (TOD)-method and predicts the characterization by human observers of camera- system performances. The algorithm combines the TOD-method, an early-vision model, and an orientation discriminator. The algorithm uses the same images as used in human-observer experiments. After correction for the physical properties of the display and the human eye, the algorithm tries to find the orientation of the stimulus. The algorithm can also predict the performance of only image processing using a simple scene-generator instead of a camera setup.
Automatic characterization of electro-optical sensors with image processing using the triangle orientation discrimination (TOD) method
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XI ; 2000 ; Orlando,FL,USA
Proc. SPIE ; 4030
2000-07-17
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Uncertainty Analysis in Triangle Orientation Discrimination Threshold Measurement
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