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| Authors: | Y. Tao, X. Cheng, Y.R. Chen, Y. Luo |
| Keywords: | Infrared, Machine vision, Imaging, Dual-wavelength sensing, Defect inspection, Stem-end, Calyx, Apple. |
Abstract:
One of the difficult problems in automated machine vision apple sorting is the distinction between true defects and the stem-end/calyx.
To solve this problem, a dual imaging approach using near infrared (NIR) and mid-infrared (MIR) was developed for combined sensing.
Based on this method, the MIR is sensitive to the stem-end/calyx, whereas the NIR is sensitive to both stem-end/calyx and defects.
Through image processing of combined images, the distinction is achieved.
Experiments show the robustness of the method for on-line defect sorting of apples.
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