DocumentCode :
3106501
Title :
An object recognition through continuous spectral images
Author :
Manabe, Yoshitsugu ; Sato, Kosuke ; Inokuchi, Seiji
Author_Institution :
Dept. of Syst. Eng., Osaka Univ., Japan
Volume :
1
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
858
Abstract :
A new color image acquisition system which can measure continuous spectral pixel data in order to apply continuous spectral images to object recognition. For segmentation of continuous spectral image, object contours can be detected by checking the correlation coefficient between neighboring pixels. Also the continuous spectral images can be used as reference image when selecting the most suitable imaging sensor, such as a gray scale camera, a RGB camera or a spectral camera with narrow band-pass filter. When investigating features in spectral distribution, object recognition should be simplified for color objects
Keywords :
object recognition; color image acquisition system; continuous spectral image segmentation; correlation coefficient; imaging sensor; narrow band-pass filter; object contour detection; object recognition; reference image; Band pass filters; Cameras; Color; Image segmentation; Image sensors; Object recognition; Optical filters; Optical imaging; Pixel; Spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
Type :
conf
DOI :
10.1109/ICPR.1994.576472
Filename :
576472
Link To Document :
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