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.

Date Published: 26 August 1996
PDF: 8 pages
Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); doi: 10.1117/12.248547

Published in SPIE Proceedings Vol. 2785:
Vision Systems: New Image Processing Techniques
Philippe Refregier, Editor(s)