DocumentCode :
3410557
Title :
A computer vision system for color grading wood boards using Fuzzy Logic
Author :
Faria, João ; Martins, Teresa ; Ferreira, Manuel ; Santos, Cristina
Author_Institution :
Ind. Electron. Dept., Univ. of Minho, Guimaraes
fYear :
2008
fDate :
June 30 2008-July 2 2008
Firstpage :
1082
Lastpage :
1087
Abstract :
This paper describes the development of a project based on fuzzy logic applied to color histograms for color grading wood boards. During this development a fuzzy min-max inference system, with bell membership functions adjusted to the histogram, was implemented and evaluated. This system performs image matching. Images given as training samples are used to define the classes that determine the several wood board color intervals. In that way the system is capable to classify an image by its color in order to group wood boards with the same tonality-color in a short period of time.
Keywords :
computer vision; fuzzy logic; image colour analysis; image matching; inference mechanisms; minimax techniques; wood; bell membership functions; color grading wood boards; color histograms; computer vision; fuzzy logic; fuzzy min-max inference system; image matching; Computer vision; Feature extraction; Fuzzy logic; Histograms; Humans; Industrial electronics; Inspection; Lighting; Self organizing feature maps; Wood industry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-1665-3
Electronic_ISBN :
978-1-4244-1666-0
Type :
conf
DOI :
10.1109/ISIE.2008.4677036
Filename :
4677036
Link To Document :
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