Histogram-Based Algorithms For Scene Matching

C. D. Kuglin

doi:10.1117/12.932636

8 March 1982 Histogram-Based Algorithms For Scene Matching

C. D. Kuglin

Proceedings Volume 0302, Infrared Technology for Target Detection and Classification; (1982) https://doi.org/10.1117/12.932636
Event: 25th Annual Technical Symposium, 1981, San Diego, United States

Abstract

The two-dimensional joint histogram or co-occurrence matrix of two images provides a convenient vehicle for the design of scene matching algorithms which effectively incorporate information about expected variations between reference and sensor-derived data. Thus, specified histogram pairings, orderings, or degrees of clustering can be rewarded as appropriate by the matching algorithm. In particular, intensity-independent algorithms can be designed which are invariant under an arbitrary permutation of labels in one or both images to be matched and, as a result, they are insensitive to contrast reversals. Such algorithms can utilize synthetic reference maps constructed by assigning arbitrary labels to designated regions, thus eliminating the need for material identification and sensor response prediction. Two different types of intensity-independent algorithms are described and their performance is compared to that of conventional matching algorithms using a set of infrared images acquired over a 24-hour period.

Citation Download Citation

C. D. Kuglin "Histogram-Based Algorithms For Scene Matching", Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); https://doi.org/10.1117/12.932636

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