Paper
28 July 2023 Effect of lighting conditions on grape quality control by artificial vision
P. Beauseroy, A. Baussard, M. L. Panon, M. Loyaux
Author Affiliations +
Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 1274908 (2023) https://doi.org/10.1117/12.2688756
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France
Abstract
In order to develop a new device for automatic quality control of grapes stored in crates just before pressing, it is necessary to specify many parameters. Among these, lighting is particularly important, both for the recognition methods and for the control system physical design and cost. This study introduces a database of images of grapes in crates, created specifically for the study, and investigates the possibility of recognizing healthy grapes from other visible elements (diseases, leaves. . . ) with four different lighting conditions and two classifiers (SVM and CNN). The experimental results show the feasibility of the system and provide objective and quantified elements to guide its design.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Beauseroy, A. Baussard, M. L. Panon, and M. Loyaux "Effect of lighting conditions on grape quality control by artificial vision", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 1274908 (28 July 2023); https://doi.org/10.1117/12.2688756
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KEYWORDS
Image segmentation

Polarized light

Light sources and illumination

Image classification

Quality control

Diseases and disorders

Machine vision

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