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Fisher Information and the Combination of RGB channels
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-7557-4904
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology. (CVL)
2013 (English)In: 4th International Workshop, CCIW 2013, Chiba, Japan, March 3-5, 2013. Proceedings / [ed] Shoji Tominaga, Raimondo Schettini, Alain Trémeau, 2013, 250-264 p.Conference paper, Published paper (Refereed)
Abstract [en]

We introduce a method to combine the color channels of an image to a scalar valued image. Linear combinations of the RGB channels are constructed using the Fisher-Trace-Information (FTI), defined as the trace of the Fisher information matrix of the Weibull distribution, as a cost function. The FTI characterizes the local geometry of the Weibull manifold independent of the parametrization of the distribution. We show that minimizing the FTI leads to contrast enhanced images, suitable for segmentation processes. The Riemann structure of the manifold of Weibull distributions is used to design optimization methods for finding optimal weight RGB vectors. Using a threshold procedure we find good solutions even for images with limited content variation. Experiments show how the method adapts to images with widely varying visual content. Using these image dependent de-colorizations one can obtain substantially improved segmentation results compared to a mapping with pre-defined coefficients.

Place, publisher, year, edition, pages
2013. 250-264 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7786
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-89132DOI: 10.1007/978-3-642-36700-7_20ISI: 000342983600020ISBN: 978-3-642-36699-4 (print)ISBN: 978-3-642-36700-7 (print)OAI: oai:DiVA.org:liu-89132DiVA: diva2:607078
Conference
Computational Color Imaging Workshop (CCIW 2013), 4-5 March 2013, Chiba, Japan
Projects
GARNICSVPS
Available from: 2013-04-08 Created: 2013-02-21 Last updated: 2016-08-31Bibliographically approved

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Lenz, ReinerZografos, Vasileios

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