Paper
19 August 1997 Application of the Kolmogorov-Smirnov test for the recognition of gray-scale templates
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Abstract
In this work we present the application of the Kolmogorov- Smirnov binary-domain measure of similarity to grey scale targets. This generalization consist of the generation of a template by thresholding the target. The threshold level is selected according to an optimality criterion with respect to a metric of performance of the detection algorithm. We examine the reduction of the computation time of the algorithm and its noise robustness, and finally we show an example of application.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josep Ferre-Borrull, Santiago Vallmitjana, Salvador Bosch, and Xavier Fernandez "Application of the Kolmogorov-Smirnov test for the recognition of gray-scale templates", Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); https://doi.org/10.1117/12.281268
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KEYWORDS
Detection and tracking algorithms

Target detection

Binary data

Algorithm development

Pattern recognition

Target recognition

Chlorine

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