Title: Colorimetric object classification
Authors: Wolfram, Hans
Paulus, Dietrich
Citation: WSCG ’2010: Poster Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 23-26.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Poster-proceedings.pdf
ISBN: 978-80-86943-86-2
Keywords: rozpoznávání objektů;normalizace barev;kalibrace barev
Keywords in different language: object recognition;color normalization;color calibration
Abstract: In order to improve object recognition results, usually several image preprocessings are performed. If color images are used, a color normalization is normally applied. Algorithms for color normalization will be compared to a colorimetric approach found in the literature. Recovering colorimetric values instead of a simple RGB camera output leads to more reliable color images. To this kind of processed object image a basic object recognition approach using different histogram distances is applied. It will be shown that there is an effect on the results of object recognition rates if we use color calibrated images instead of color normalization methods.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2010: Poster Paper Proceedings

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