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A Fast Adaptive Subpixel Extraction Method for Light Stripe Center

  • Wei Zou
  • Zhenzhong WeiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11901)

Abstract

Aiming at the problem of light stripe distribution uneven and large curvature variation, which results in wrong stripe center extraction, a fast light stripe center extraction method based on the adaptive template is proposed. Firstly, the adaptive threshold method is used to reduce the image convolution area, and the multi-thread parallel operation is used to improve the speed of extracting the light stripe center. Secondly, the multi-direction template method is used to estimate the width of the light stripe along the normal direction, so that the size of the Gaussian template can be automatically obtained. Finally, the Hessian matrix eigenvalues are normalized to eliminate the multiple light stripe centers at both ends of the light stripe, and avoid extracting the wrong light stripe centers at the intersection position or the large curvature change, thus ensuring the continuity of the light stripe. This method has fast processing speed, good robustness, and high precision. It is very suitable for vision measurement image, medical image, and remote sensing image.

Keywords

Light stripe center Image extraction Hessian matrix Normalization Gussian filter 

Notes

Acknowledgement

National Science Fund for Distinguished Young Scholars of China (51625501).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Key Laboratory of Precision Opto-mechatronics Technology, Ministry of EducationBeihang UniversityBeijingChina

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