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Automatic tuning for the segmentation of infrared images considering uncertain ground truth

[+] Author Affiliations
Rubén Usamentiaga

University of Oviedo, Department of Computer Science, Campus de Viesques, Gijón 33271 Asturias, Spain

Daniel F. García

University of Oviedo, Department of Computer Science, Campus de Viesques, Gijón 33271 Asturias, Spain

Julio Molleda

University of Oviedo, Department of Computer Science, Campus de Viesques, Gijón 33271 Asturias, Spain

J. Electron. Imaging. 18(1), 013001 (January 05, 2009). doi:10.1117/1.3059579
History: Received October 08, 2007; Revised November 19, 2008; Accepted November 20, 2008; Published January 05, 2009
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Image segmentation is one of the most important tasks of image processing, as it provides information used to interpret and analyze image contents. The tuning of the parameters of the segmentation method can be considered an optimization problem by defining an objective function based on the similarity of the segmented image and the ground truth. The problem becomes harder to solve when the ground truth is known only under uncertainty. A solution is proposed for the design and the automatic tuning of a real-time segmentation method for infrared images where the ground truth is uncertain. The proposed solution consists of three steps: the proposal of a segmentation method adapted for the considered images, the definition of an objective function that takes the uncertainty of the ground truth into account, and the automatic tuning of the segmentation method by means of genetic algorithms.

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© 2009 SPIE and IS&T

Citation

Rubén Usamentiaga ; Daniel F. García and Julio Molleda
"Automatic tuning for the segmentation of infrared images considering uncertain ground truth", J. Electron. Imaging. 18(1), 013001 (January 05, 2009). ; http://dx.doi.org/10.1117/1.3059579


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