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Proceedings Paper

Optimizing feature extraction in image analysis using experimented designs: a case study evaluating texture algorithms for describing appearance retention in carpets
Author(s): S. A. Orjuela; R. A. Quinones; B. Ortiz-Jaramillo; F. Rooms; R. De Keyser; W. Philips
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Paper Abstract

When performing image analysis, one of the most critical steps is the selection of appropriate techniques. A huge amount of features can be extracted from several techniques and the selection is commonly performed based on expert knowledge. In this paper we present the theory of experimental designs as a tool for an objective selection of techniques in image analysis domain. We present a study case for evaluating appearance retention in textile floor coverings using texture features. The use of experimental design theory permitted to select an optimal set of techniques for describing the texture changes due to degradation.

Paper Details

Date Published: 9 September 2011
PDF: 15 pages
Proc. SPIE 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, 81360F (9 September 2011); doi: 10.1117/12.893102
Show Author Affiliations
S. A. Orjuela, Univ. Gent (Belgium)
Antonio Nariño Univ. (Colombia)
R. A. Quinones, Univ. Gent (Belgium)
B. Ortiz-Jaramillo, Univ. Gent (Belgium)
F. Rooms, Univ. Gent (Belgium)
R. De Keyser, Univ. Gent (Belgium)
W. Philips, Univ. Gent (Belgium)


Published in SPIE Proceedings Vol. 8136:
Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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