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27 March 1997 New approach for intensity distortion-invariant OPR
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Abstract
A intensity-invariant recognition technique was proposed for 3D object distortion-invariant OPR. A new preprocessing algorithm for training image set constructing and synthetic discriminant function (SDF) synthesizing technique were used to realize intensity-invariant SDF, and a input scenery image dynamic thresholding preprocessing technique was used to optimize the real-time optical correlation S/N of SDF and input scenery image. As result, the optical correlation S/N is independent of recognized object image intensity and distribution, in other words, the illuminating condition, reflectivity or thermal radiation condition of recognized object. An intensity, rotation, depression, scale and shift invariant OPR was realized simultaneously by using this technique with high S/N, sharp correlation peak, high intraclass recognition possibility and excellent interclass rejection ability.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rutong Hong, En Hong, and Hui Xu "New approach for intensity distortion-invariant OPR", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270402
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