Share Email Print

Proceedings Paper

Histogram-Based Algorithms For Scene Matching
Author(s): C. D. Kuglin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 8 March 1982
PDF: 9 pages
Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); doi: 10.1117/12.932636
Show Author Affiliations
C. D. Kuglin, Lockheed Palo Alto Research Laboratory (United States)

Published in SPIE Proceedings Vol. 0302:
Infrared Technology for Target Detection and Classification
Pat M. Narendra, Editor(s)

© SPIE. Terms of Use
Back to Top