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- W4323656912 abstract "In order to solve the problems of real-time measurement of online high-speed wire diameter data is difficult and the measurement accuracy is low, this paper proposes a sub-pixel detection algorithm for wire diameter based on machine vision, and builds a real-time measurement system. On the basis of image preprocessing, the Otsu-based automatic threshold canny operator is first used for coarse pixel-level edge positioning; then on the basis of the traditional Zernike moment, the step grayscale difference between the background and the target is used, combined with the Otsu algorithm and the iterative method to automatically determine the step grayscale threshold, and realize the Zernike moment subpixel edge extraction of the adaptive threshold. The least squares method is used to fit the extracted edge points and obtain the diameter of the wire. After experimental analysis and comparison, the accuracy of the data obtained by this method meets the requirements of on-site accuracy and is expected to be applied to high-speed wire production sites." @default.
- W4323656912 created "2023-03-10" @default.
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- W4323656912 date "2023-03-09" @default.
- W4323656912 modified "2023-09-24" @default.
- W4323656912 title "Study on high-speed wire diameter measurement based on improved Zernike moment" @default.
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- W4323656912 doi "https://doi.org/10.1117/12.2674134" @default.
- W4323656912 hasPublicationYear "2023" @default.
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