Paper
18 December 2019 Research on target location method based on varistor image
Author Affiliations +
Proceedings Volume 11342, AOPC 2019: AI in Optics and Photonics; 113420E (2019) https://doi.org/10.1117/12.2546948
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
In order to more accurately locate and segment the varistor image to achieve the varistor image data set necessary for automatic construction of deep learning. This paper proposes a method for locating and stitching the body and stitch of varistor based on Hough transform and mathematical morphology. In order to obtain an image that eliminates surface reflection, the method first acquires a varistor image through a coaxial light source. Secondly, performing preprocessing on the image based on denoising, graying, and binarization; then, using the Hough transform based on circle detection to locate the body of the resistor; further separating the body and the stitches, firstly performing edge searching on the positioned body portion, and then performing background filling on the inside of the body, and finally using a mathematical morphology etching operation to eliminate the edge marks of the body to obtain the positioning of the stitches. The experiment aimed to locate and segment 91 varistor samples, and use the effective and correct data indicators to evaluate the segmentation results. The experimental results show that the actual results of the proposed method are ideal and have a good target segmentation effect, which is beneficial to provide reliable varistor image data sets necessary for deep learning.
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Bo Gong, Lei Xiao, Chunchun Li, and Tiejun Yang "Research on target location method based on varistor image", Proc. SPIE 11342, AOPC 2019: AI in Optics and Photonics, 113420E (18 December 2019); https://doi.org/10.1117/12.2546948
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KEYWORDS
Image segmentation

Image processing

Image filtering

Hough transforms

Mathematical morphology

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