Spectral band selection for color machine vision used for plant identification

Geoffrey J. Shropshire; Cees Glas

doi:10.1117/12.144031

12 May 1993 Spectral band selection for color machine vision used for plant identification

Geoffrey J. Shropshire, Cees Glas

Proceedings Volume 1836, Optics in Agriculture and Forestry; (1993) https://doi.org/10.1117/12.144031
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Geoffrey J. Shropshire and Cees Glas "Spectral band selection for color machine vision used for plant identification", Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); https://doi.org/10.1117/12.144031

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