Defect detection for end surface of ferrite magnetic tile

Jiayuan Tao; Yuwei Wang; Keyi Wang

doi:10.1117/12.2241044

27 September 2016 Defect detection for end surface of ferrite magnetic tile

Jiayuan Tao, Yuwei Wang, Keyi Wang

Proceedings Volume 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 968420 (2016) https://doi.org/10.1117/12.2241044
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China

Abstract

A visual automatic detection method is proposed for defect detection on end surface of ferrite magnetic tile to tackle the disadvantages generated by human work which has low efficiency and unstable accuracy. Because the defects on end surface of ferrite magnetic tile with dark colors and low contrasts are negative for defect detection, uniform illumination is provided by LED light source and a dedicated optical system is designed to extract defects conveniently. The approach uses comparison of the fitting and actual edge curves to detect defects mainly with most defects located on the edge. Firstly improved adaptive median filter is used as the image preprocessing. Subsequently the appropriate threshold is calculated by Otsu algorithm based on the extreme points in the gray-level histogram to segment the preprocessing image. Then the Sobel operator can be used to extract the edge of end surface precisely. Finally through comparing the ideal fitting and actual edge curves of end surface, to detect the defects with some relevant features. Experimental results show that the proposed scheme could detect defects on the end surface of ferrite magnetic tile efficiency and accurately with 93.33% accuracy rate, 2.30% false acceptance rate and 8.45% correct rejection rate.

Citation Download Citation

Jiayuan Tao, Yuwei Wang, and Keyi Wang "Defect detection for end surface of ferrite magnetic tile", Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 968420 (27 September 2016); https://doi.org/10.1117/12.2241044

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KEYWORDS

Magnetism

Defect detection

Image segmentation

Digital filtering

Image filtering

Image processing

Image processing algorithms and systems

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