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 conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Poster-proceedings.pdf http://hdl.handle.net/11025/1109 |
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 |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/1109
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.