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Proceedings Paper

Intelligent measurement of the color of food products
Author(s): Jian Wang
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Paper Abstract

Food color is an important attribute of food quality. This paper discusses issues in using machine vision for the objective assessment of food color, such as color image segmentation, calibration and statistical parameter design, and their application to pea color assessment. The algorithm first established a 3D histogram on RGB color space based on an octree data structure. From the color space, a statistical index was calculated to measure the major color of an object simulating the characteristics of human color perception. This method was applied to assess the major color of peas. Accuracy and efficiency were achieved in measuring pea seed and its variations.

Paper Details

Date Published: 14 January 1999
PDF: 8 pages
Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); doi: 10.1117/12.336880
Show Author Affiliations
Jian Wang, New Zealand Institute for Crop & Food Research Ltd. (New Zealand)

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

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