Using digital images to measure and discriminate small particles in cotton

Robert A. Taylor; Luther C. Godbey

doi:10.1117/12.25071

1 February 1991 Using digital images to measure and discriminate small particles in cotton

Robert A. Taylor, Luther C. Godbey

Proceedings Volume 1379, Optics in Agriculture; (1991) https://doi.org/10.1117/12.25071
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Inages from conventional video systems are being digitized in coraputers for the analysis of small trash particles in cotton. The method has been developed to automate particle counting and area measurements for bales of cotton prepared for market. Because the video output is linearly proportional to the amount of light reflected the best spectral band for optimum particle discrimination should be centered at the wavelength of maximum difference between particles and their surroundings. However due to the spectral distribution of the illumination energy and the detector sensitivity peak image performance bands were altered. Reflectance from seven mechanically cleaned cotton lint samples and trash removed were examined for spectral contrast in the wavelength range of camera sensitivity. Pixel intensity histograms from the video systent are reported for simulated trashmeter area reference samples (painted dots on panels) and for cotton containing trash to demonstrate the particle discrimination mechanism. 2.

Citation Download Citation

Robert A. Taylor and Luther C. Godbey "Using digital images to measure and discriminate small particles in cotton", Proc. SPIE 1379, Optics in Agriculture, (1 February 1991); https://doi.org/10.1117/12.25071

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