2 May 2017 Designing observer trials for image fusion experiments with Latin Squares
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Abstract
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.
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Eckart Michaelsen, Eckart Michaelsen, Gabriele Schwan, Gabriele Schwan, Norbert Scherer-Negenborn, Norbert Scherer-Negenborn, } "Designing observer trials for image fusion experiments with Latin Squares", Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 1020015 (2 May 2017); doi: 10.1117/12.2262488; https://doi.org/10.1117/12.2262488
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