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Proceedings Paper

Spectral band selection for color machine vision used for plant identification
Author(s): Geoffrey J. Shropshire; Cees Glas
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Paper Abstract

A monochrome video camera and a set of narrow bandpass optical filters were used to capture images in 13 spectral bands from 400 nm to 1000 nm. Images of 4 plant species were captured. Pixel data was extracted from the images in user defined areas on the plant leaves. Attempts were made to classify the plants based on the spectral information in the extracted data.

Paper Details

Date Published: 12 May 1993
PDF: 11 pages
Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); doi: 10.1117/12.144031
Show Author Affiliations
Geoffrey J. Shropshire, Univ. of Idaho (United States)
Cees Glas, Univ. of Idaho (United States)

Published in SPIE Proceedings Vol. 1836:
Optics in Agriculture and Forestry
James A. DeShazer; George E. Meyer, Editor(s)

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