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Automated 3D Surface Reconstruction and Analysis of Apple Near-Infrared data for the Application of Apple Stem-End/Calyx Identification

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2007 ASAE Annual Meeting  073074.(doi:10.13031/2013.23426)
Authors:   Bin Zhu, Lu Jiang, Yang Tao
Keywords:   3D reconstruction, 3D Shape Enhanced Transform (SET), Shape-From-Shading (SFS), Facet model, Apple Stem-end/calyx identification, NIR imaging, Automated Detection

Machine vision technologies have received more and more attention for automated apple sorting and grading applications. Currently most machine vision techniques used in apple automated processing are 2-D or 2.5-D based approaches, which usually have difficulties to identify apple stem-end/calyx from defects. On the other hand, as one of the persistent problems, apple stem-end/calyx identification must be solved not only for the accurate defect inspection, but for efficient firmness measurement purposes.

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