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Proceedings Paper

Dual-wavelength imaging for online identification of stem ends and calyxes
Author(s): James Zhiqing Wen; Yang Tao
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Paper Abstract

Machine vision and imaging processing techniques have been increasingly important for the fruit industry, especially when applied to quality inspection and defect sorting applications. However, automating the defect sorting process is still a challenging project due to the complexity of the process. One of the biggest difficulties involved in the technology of automated machine vision inspection of fruit defects is how to distinguish the stem-end (stem cavity) and calyx (bloom bottom) for true defects such as bruises, insect damages, and blemishes. Traditional mechanical, image processing, and structured lighting methods are proved to be unable to solve this problem due to their limitations in accuracy, speed, and so on. In this paper, a novel method is developed based on dual-wavelength infrared imaging using both near infrared and mid infrared cameras. This method enables a quick and accurate discrimination between true defects and stem-ends/calyxes. The obtained results have significant meanings to automated apple defect detection and sorting.

Paper Details

Date Published: 1 October 1998
PDF: 5 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323177
Show Author Affiliations
James Zhiqing Wen, Univ. of Arkansas (United States)
Yang Tao, Univ. of Arkansas (United States)


Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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