We present a novel inspection framework to detect dirt and blemish in production line of optical fabrication automatically. To detect dirt defect from vignette surface, we use B-Spline to generate an ideal vignette surface and subtract the contaminated surface from the generated vignette surface to locate the defect. Besides, we apply some image processing methods to optimize our inspection framework. Experimental results show the effec-tiveness and robustness of the proposed approach regarding dirt detection in automatic optical inspection.
CITATION STYLE
Chen, C.-W., & Fuh, C.-S. (2011). Lens Shading Correction for Dirt Detection. In Pattern Recognition, Machine Intelligence and Biometrics (pp. 171–195). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-22407-2_7
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