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Defect detection method of product appearance design based on visual communication model

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  • Tiesheng Liu

Abstract

In order to overcome the problems of low detection accuracy and efficiency in traditional product appearance design defect detection methods, a product appearance design defect detection method based on visual communication model was proposed. The X-ray visual inspection system is used to collect the image of product appearance design, and the method of superposition of multiple images and histogram equalisation are used to denoise and enhance the defect image of product appearance design. Gabor transform is used to extract the features of the pre-processed defect image. According to the extraction results, virtual reality (VR) reconstruction method is used to construct the visual inspection model of product appearance design defects, and the defect detection of product appearance design is realised. The simulation results show that the proposed method has better detection results and improves the detection efficiency. The shortest detection time is only 5 s.

Suggested Citation

  • Tiesheng Liu, 2022. "Defect detection method of product appearance design based on visual communication model," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 26(1/2/3/4), pages 39-51.
    • Handle: RePEc:ids:ijpdev:v:26:y:2022:i:1/2/3/4:p:39-51
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