Application of spatial moment subpixel edge algorithm in chip localization mark extraction

The accuracy of image edge detection determines the measurement accuracy of chip positioning. This article uses subpixel edge detection technology to solve the problem of detecting and extracting chip positioning marks in the automatic alignment system of SMT machines. The spatial moment sub-pixel edge detection algorithm was derived and applied to the edge extraction and analysis of chip positioning markers in SMT machines. The experiment shows that the spatial moment method has good accuracy and robustness, with relatively low computational complexity and insensitivity to noise, which helps to improve positioning accuracy.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1117/12.3035582
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Application of spatial moment subpixel edge algorithm in chip localization mark extraction

Lu Yanmin, Haihua Li
Industrial Vision Systems and Defect Detection
article

Application of spatial moment subpixel edge algorithm in chip localization mark extraction

Lu Yanmin, Haihua Li
article en

Abstract

The accuracy of image edge detection determines the measurement accuracy of chip positioning. This article uses subpixel edge detection technology to solve the problem of detecting and extracting chip positioning marks in the automatic alignment system of SMT machines. The spatial moment sub-pixel edge detection algorithm was derived and applied to the edge extraction and analysis of chip positioning markers in SMT machines. The experiment shows that the spatial moment method has good accuracy and robustness, with relatively low computational complexity and insensitivity to noise, which helps to improve positioning accuracy.

Wenhua College
Openalex Percentile: Top 82%
Industrial Vision Systems and Defect Detection
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