Stem and Calyx Identification of 3D Apples Using Multi-Threshold Segmentation and 2D Convex Hull

نویسندگان

چکیده

Traditional machine vision is widely used to identify apple quality, but this method finds it difficult distinguish the stem and calyx from defects. To address this, we designed a new of apples based on their concave shape. This applies fringe projection in computer system 3D reconstruction, followed by multi-threshold segmentation 2D convex hull technique calyx. A camera projector were reconstruct surface front half an inspected apple. The height information for each pixel was reconstructed mathematical transformation. 3D-reconstructed result subjected results contained feature curved line, representing then technique, allowing identification evaluated using four groups apples, proposed able with 98.93% accuracy.

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ژورنال

عنوان ژورنال: Photonics

سال: 2022

ISSN: ['2304-6732']

DOI: https://doi.org/10.3390/photonics9050346