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1 October 1998 Dual-wavelength imaging for online identification of stem ends and calyxes
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James Zhiqing Wen and Yang Tao "Dual-wavelength imaging for online identification of stem ends and calyxes", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998);


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