Automatic surface defect detection for mobile phone screen glass based on machine vision |
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| Affiliation: | 1. School of Information Science & Engineering, Chang Zhou University, Chang Zhou, Jiang Su 213164, PR China;2. School of Technology, Beijing Forestry University, Beijing 100083, PR China;1. State Key Laboratory of Mechanics and Control of Mechanical Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China;2. Faculty of High Vocational Education, Xi''an University of Technology, Xi''an, China;3. School of Mathematics, University of East Anglia, Norwich NR4 7TJ, UK |
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| Abstract: | Defect detection using machine vision technology plays an important role in the manufacturing process of mobile phone screen glass (MPSG). This study proposes an improved detection algorithm for MPSG defect recognition and segmentation. Considering the problem of MPSG image misalignment caused by vibrations in the mobile stages, a contour-based registration (CR) method is used to generate the template image used to align the MPSG images. Based on this registration result, the combination of subtraction and projection (CSP) is used to identify defects on the MPSG image, which can eliminate the influence of fluctuation in ambient illumination. To segment the defects with a fuzzy grey boundary from a noisy MPSG image, an improved fuzzy c-means cluster (IFCM) algorithm is developed in this study. A defect detection system is developed, and the proposed algorithms are validated using a number of experimental tests on MPSG images. The testing results demonstrate that the approach proposed in this study can effectively detect various defects on MPSG and that it has better performance than other methods. |
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| Keywords: | Mobile phone screen glass Defect detection Contour-based registration Image subtraction Fuzzy c-means cluster |
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