DocumentCode :
2323293
Title :
Recognition of material types using spectral image
Author :
Manabe, Yoshitsugu ; Inokuchi, Seiji
Author_Institution :
Dept. of Syst. Eng., Osaka Univ., Japan
Volume :
1
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
840
Abstract :
A new method of recognition of material types is described. To materialize this idea, this paper proposes a simple color reflection model based on a dichromatic reflection model which classifies colored opaque objects into three categories: “metallic”, “matte nonmetallic” and “glossy nonmetallic”. In addition processing of a spectral image for indoor object recognition is described. An experimental image acquisition system with 2D scanning of a spectrometer is able to generate 2D spectral images, like a multi-band image. As applications of the spectral images, a spectral image is used to recognise material types, and the validity of this method is shown by experiments
Keywords :
image colour analysis; image recognition; object recognition; reflection; 2D scanning; color reflection model; colored opaque objects; dichromatic reflection model; glossy nonmetallic objects; image acquisition system; indoor object recognition; material types; matte nonmetallic objects; metallic objects; multi-band image; spectral image; Color; Dielectric materials; Image processing; Image recognition; Optical materials; Optical reflection; Optical surface waves; Surface texture; Surface waves; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546142
Filename :
546142
Link To Document :
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