Paper
14 January 1999 Intelligent measurement of the color of food products
Jian Wang
Author Affiliations +
Proceedings Volume 3543, Precision Agriculture and Biological Quality; (1999) https://doi.org/10.1117/12.336880
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Wang "Intelligent measurement of the color of food products", Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); https://doi.org/10.1117/12.336880
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KEYWORDS
RGB color model

3D image processing

Image segmentation

Cameras

Algorithm development

Machine vision

Objectives

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