Error detection of industrial design product appearance dimensional based on machine vision

被引：0

作者：

Song, Hua ^{[1
]}

机构：

[1] Cheung Kong School of Art & Design, Shantou University, Guangdong, Shantou

来源：

International Journal of Product Development | 2025年 / 29卷 / 01期

关键词：

amplitude; appearance dimensional; error detection; industrial design products; machine vision; sub-pixel point matching;

D O I：

10.1504/IJPD.2025.144853

中图分类号：

学科分类号：

摘要：

Aiming at the problems existing in current methods, such as high false detection rate, low signal-to-noise ratio of image edges and high cost of sub-pixel matching, an error detection method of industrial design product appearance dimension based on machine vision is proposed. The fuzzy algorithm is used to extract the edge of industrial design product appearance image, and the sub-pixel point matching is carried out after determining the amplitude change of sub-pixel points in the edge image. According to the pixel coordinates and image parallax of the appearance image, the standard threshold of the appearance image dimensional of industrial design products is set, and the appearance dimensional image to be detected is compared with the standard threshold of the image dimensional to realise error detection. Test results show that the proposed method has low false detection rate, high signal-to-noise ratio of image edge and low cost of sub-pixel point matching. Copyright © 2025 Inderscience Enterprises Ltd.

引用

页码：100 / 119

页数：19

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