Statistical test for the recognition of binary templates in gray-scale images

Xavier Fernandez; Josep Ferre-Borrull; Estela Martin-Badosa; Salvador Bosch; Santiago Vallmitjana

doi:10.1117/12.248547

26 August 1996 Statistical test for the recognition of binary templates in gray-scale images

Xavier Fernandez, Josep Ferre-Borrull, Estela Martin-Badosa, Salvador Bosch, Santiago Vallmitjana

Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996) https://doi.org/10.1117/12.248547
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

The Kolmogorov-Smirnov statistical test is applied to the recognition of a binary template in gray-scale scenes. The development uses mathematical morphology to define two subsets of points in the scene deduced from the shape of the template. Then, the Kolmogorov-Smirnov statistic is computed from the histograms of the two subsets and used as a similarity measure. This method is applied to locating engraved centering marks contained in images taken from an industrial environment. Besides, the method is also used to carry out a post processing of the output given by a joint transform correlator.

Citation Download Citation

Xavier Fernandez, Josep Ferre-Borrull, Estela Martin-Badosa, Salvador Bosch, and Santiago Vallmitjana "Statistical test for the recognition of binary templates in gray-scale images", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); https://doi.org/10.1117/12.248547

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