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Designing observer trials for image fusion experiments with Latin Squares

: Michaelsen, Eckart; Schwan, Gabriele; Scherer-Negenborn, Norbert


Kadar, I. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI : 10-12 April 2017, Anaheim, California, United States
Bellingham, WA: SPIE, 2017 (Proceedings of SPIE 10200)
ISBN: 9781510609013
ISBN: 9781510609020
Paper 1020015, 7 pp.
Conference "Signal Processing, Sensor/Information Fusion, and Target Recognition" <26, 2017, Anaheim/Calif.>
Conference Paper
Fraunhofer IOSB ()
latin squares; observer trials; image fusion; assessment algorithm

Multisensor image fusion (e.g. IR with visual) is the process of combining relevant information from two or more images into a single image. The aim is to find an objective quality measure, which can be used in automatic applications, that correlates best with subjective observer trials. Not all combinations of image, algorithm, and test observer can be worked out. In this paper R. Fisher’s Design of Experiments approach based on Latin Squares is used for thinning out the number of experiments for each observer in such observer trials while preserving exactness and reliability of the result.