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Proceedings Paper

Applications of color machine vision in the agricultural and food industries
Author(s): Min Zhang; Laszlo I. Ludas; Mark T. Morgan; Gary W. Krutz; Cyrille J. Precetti
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Paper Abstract

Color is an important factor in Agricultural and the Food Industry. Agricultural or prepared food products are often grade by producers and consumers using color parameters. Color is used to estimate maturity, sort produce for defects, but also perform genetic screenings or make an aesthetic judgement. The task of sorting produce following a color scale is very complex, requires special illumination and training. Also, this task cannot be performed for long durations without fatigue and loss of accuracy. This paper describes a machine vision system designed to perform color classification in real-time. Applications for sorting a variety of agricultural products are included: e.g. seeds, meat, baked goods, plant and wood.FIrst the theory of color classification of agricultural and biological materials is introduced. Then, some tools for classifier development are presented. Finally, the implementation of the algorithm on real-time image processing hardware and example applications for industry is described. This paper also presented an image analysis algorithm and a prototype machine vision system which was developed for industry. This system will automatically locate the surface of some plants using digital camera and predict information such as size, potential value and type of this plant. The algorithm developed will be feasible for real-time identification in an industrial environment.

Paper Details

Date Published: 14 January 1999
PDF: 12 pages
Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); doi: 10.1117/12.336908
Show Author Affiliations
Min Zhang, Purdue Univ. (United States)
Laszlo I. Ludas, Purdue Univ. (United States)
Mark T. Morgan, Purdue Univ. (United States)
Gary W. Krutz, Purdue Univ. (United States)
Cyrille J. Precetti, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 3543:
Precision Agriculture and Biological Quality
George E. Meyer; James A. DeShazer, Editor(s)

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