Study on Reduction of Background Fringes for Defect Detection of Specular Surface

An Chi Wei, Yi Cheng Chang, Jyh Rou Sze

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For the defect detection of specular surfaces, the image of the light source and other images of surrounding objects tend to be recorded, increasing the complexity of recognition. The method of combined dark-and-bright field illumination has been shown to improve the image quality of the defects on specular surfaces. However, there is still an issue of background fringes. In this study, we design a compensating pattern for diminishing the background fringes. The experimental results show that the proposed method can effectively dilute these fringes and increase the detection efficiency by fewer capture images.

Original languageEnglish
Title of host publication2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2163-2167
Number of pages5
ISBN (Electronic)9798350300673
DOIs
StatePublished - 2023
Event2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023 - Taipei, Taiwan
Duration: 31 Oct 20233 Nov 2023

Publication series

Name2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023

Conference

Conference2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
Country/TerritoryTaiwan
CityTaipei
Period31/10/233/11/23

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