Object recognition using a multi-spectral imaging system

• Autorzy: Tominaga S.
• Języki publikacji: EN

Abstrakty

EN

A spectral-imaging system and algorithms for identifying obects in a natural scene based on surface-spectral reflectances are described. The imaging system in composed of a liquid-crystals tunable filter, a monochrome CCD camera, and a personal computer. The tunable filter is convenient for spectral imaging because the wavelenght band can ce changed easily and electronically. It is described how we can recover the surface-spectral refle tances of natural objects by using the multi-spectral imaging sysems. Algorithms are presented for estimating both spectral functions of the illuminant spectral--power distribution and suface-spectral reflectance from the spectral image data. Moreover, effective image processing procedures are proposed for highlight extraction and region segmentation. The segmentation is based on a pixel classification method using only the maximum sensor outputs. The overall performance of the proposed imaging system and algorithms is examined in an experiment using natural products, in which 21 spectral images are acquired in the wavelenght range of 450-650 nm.

Słowa kluczowe

EN

multispectral imaging; object recognition; surface-spectral reflectance; spectral imaging system; image segmentation; color

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2002
• Tom: Vol. 11, No. 2/3
• Strony: 221--240
• Opis fizyczny: Bibliogr. 22 poz.

Twórcy

autor

Tominaga S.

• Department of Engineering Informatics, Osaka Electro-Communication University Neyagawa, Osaka 572-8530, Japan,

Bibliografia

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