A hybrid defect detection method for compact camera lens
Production technology has increased rapidly with the development of industrial technology. Conventional human visual inspection is insufficient for conducting quality control under this increased capacity. Therefore, high-speed and high-accuracy automated optical inspection is becoming increasingly...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-08-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814017722949 |
_version_ | 1818839565613400064 |
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author | Chia-Feng Chang Jiunn-Lin Wu Kuan-Jen Chen Ming-Chou Hsu |
author_facet | Chia-Feng Chang Jiunn-Lin Wu Kuan-Jen Chen Ming-Chou Hsu |
author_sort | Chia-Feng Chang |
collection | DOAJ |
description | Production technology has increased rapidly with the development of industrial technology. Conventional human visual inspection is insufficient for conducting quality control under this increased capacity. Therefore, high-speed and high-accuracy automated optical inspection is becoming increasingly crucial. In this article, we propose an automated inspection method for a compact camera lens using a circle Hough transformation, weighted Sobel filter, and polar transformation. Our analysis of defects in the compact camera lens identified problems including of the circular texture and the non-fixed position of the inspection region. To overcome these problems, we design an inspection algorithm for locating and inspecting a circular region. A machine learning support vector machine method is then applied for obtaining a precise detection result. The experimental results show that the proposed inspection method is suitable for detecting defects in a complicated circular inspection region, and that the proposed system exhibited high performance. |
first_indexed | 2024-12-19T03:56:19Z |
format | Article |
id | doaj.art-6eb656e893ec45a49cabb553b4196f3c |
institution | Directory Open Access Journal |
issn | 1687-8140 |
language | English |
last_indexed | 2024-12-19T03:56:19Z |
publishDate | 2017-08-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Advances in Mechanical Engineering |
spelling | doaj.art-6eb656e893ec45a49cabb553b4196f3c2022-12-21T20:36:48ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-08-01910.1177/1687814017722949A hybrid defect detection method for compact camera lensChia-Feng ChangJiunn-Lin WuKuan-Jen ChenMing-Chou HsuProduction technology has increased rapidly with the development of industrial technology. Conventional human visual inspection is insufficient for conducting quality control under this increased capacity. Therefore, high-speed and high-accuracy automated optical inspection is becoming increasingly crucial. In this article, we propose an automated inspection method for a compact camera lens using a circle Hough transformation, weighted Sobel filter, and polar transformation. Our analysis of defects in the compact camera lens identified problems including of the circular texture and the non-fixed position of the inspection region. To overcome these problems, we design an inspection algorithm for locating and inspecting a circular region. A machine learning support vector machine method is then applied for obtaining a precise detection result. The experimental results show that the proposed inspection method is suitable for detecting defects in a complicated circular inspection region, and that the proposed system exhibited high performance.https://doi.org/10.1177/1687814017722949 |
spellingShingle | Chia-Feng Chang Jiunn-Lin Wu Kuan-Jen Chen Ming-Chou Hsu A hybrid defect detection method for compact camera lens Advances in Mechanical Engineering |
title | A hybrid defect detection method for compact camera lens |
title_full | A hybrid defect detection method for compact camera lens |
title_fullStr | A hybrid defect detection method for compact camera lens |
title_full_unstemmed | A hybrid defect detection method for compact camera lens |
title_short | A hybrid defect detection method for compact camera lens |
title_sort | hybrid defect detection method for compact camera lens |
url | https://doi.org/10.1177/1687814017722949 |
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