Adaptive Image Segmentation with YOLO for Visual Positioning System for Rhinestone Machine

Authors

  • Linling Jia , Anton Louise De Ocampo

Keywords:

YOLO algorithm, greeting card paste rhinestone machine, rhinestone, visual positioning

Abstract

In order to improve the visual positioning effect of rhinestone for greeting card paste rhinestone machine, shorten positioning time, and reduce positioning errors, this study conducted a YOLO based visual positioning method for greeting card paste rhinestone machine. This method first completes the design of the rhinestone image acquisition structure, performs de-noise processing on the collected image, and then repairs the ROI area of the rhinestone image based on target neighborhood interpolation and region median filling. It uses seed region growth technology to complete image adaptive segmentation processing. Finally, based on the YOLO3 network, a visual positioning model for the greeting card paste rhinestone machine is constructed to achieve the recognition and positioning function of the greeting card paste rhinestone machine. The experimental results show that the proposed method has a positioning time of less than 1.31 ms and a positioning error of less than 0.41mm, which is superior to the comparison method and the positioning effect is better.

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Published

12.06.2024

How to Cite

Linling Jia. (2024). Adaptive Image Segmentation with YOLO for Visual Positioning System for Rhinestone Machine. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2445–2453. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6633

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

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