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.
Eckart Michaelsen, Gabriele Schwan, and 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 (Presented at SPIE Defense + Security: April 12, 2017; Published: 2 May 2017); https://doi.org/10.1117/12.2262488.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 14,000 conference presentations, including many plenary and keynote presentations.
Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon