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

Authors: Tiesheng Liu

Addresses: Hunan City University, YiYang 413000, China

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.

Keywords: visual communication; appearance; modelling design; defect detection; integral projection method; Gabor transform.

DOI: 10.1504/IJPD.2022.125327

International Journal of Product Development, 2022 Vol.26 No.1/2/3/4, pp.39 - 51

Received: 01 Feb 2021
Accepted: 08 May 2021
Published online: 07 Sep 2022 *

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