Spectroscopic classification of a color image by subspace method

S. Toyooka

doi:10.1117/12.2308605

26 July 1993 Spectroscopic classification of a color image by subspace method

S. Toyooka

Proceedings Volume 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology; 198356 (1993) https://doi.org/10.1117/12.2308605
Event: 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 1993, Budapest, Hungary

Abstract

Spectroscopic classification of a color image is very important to identify materials in an observing field such as a microscopic image of stained biological samples. Since spectroscopic image contains great many information, any data compression is required. Vector subspace method is an outgrowth of linear feature extraction and data compression in statistical pattern recognition. J.Parkkinen et.a1.1) showed that the subspace method was well applicable to spectral recognition and classification of colors. Optical implementation using a liquid crystal spatial light modulator (LCSLM) was also presented. In this paper, the method is expanded to spectroscopic classification of a two-dimensional color image.

Citation Download Citation

S. Toyooka "Spectroscopic classification of a color image by subspace method", Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 198356 (26 July 1993); https://doi.org/10.1117/12.2308605

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