• Acta Optica Sinica
  • Vol. 36, Issue 9, 911004 (2016)
Zhang Bo1、2、*, Ni Kaizao2, Wang Linjun1, Liu Shijie2, and Wu Lunzhe1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/aos201636.0911004 Cite this Article Set citation alerts
    Zhang Bo, Ni Kaizao, Wang Linjun, Liu Shijie, Wu Lunzhe. New Algorithm of Detecting Optical Surface Imperfection Based on Background Correction and Image Segmentation[J]. Acta Optica Sinica, 2016, 36(9): 911004 Copy Citation Text show less

    Abstract

    To solve the non-uniform background problem induced by the illumination with uneven light intensity in the system of detecting surface imperfection on large-aperture optical components based on the machine vision, an image background correction method is adopted based on the mathematical morphology. An image segmentation algorithm of image gradient in combination with Otsu method is proposed. The experimental results show that the proposed method has the good anti-noise performance and high extracting accuracy for the blurred images at a certain degree.
    Zhang Bo, Ni Kaizao, Wang Linjun, Liu Shijie, Wu Lunzhe. New Algorithm of Detecting Optical Surface Imperfection Based on Background Correction and Image Segmentation[J]. Acta Optica Sinica, 2016, 36(9): 911004
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