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The correction of Lens distortion based on Image division using Artificial Neural Network

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(4), pp.31-38
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kiyoung Shin 1 Jang-Han Bae 1 Joung Hwan Mun 1

1성균관대학교

Accredited

ABSTRACT

Lens distortion is inevitable phenomenon in machine vision system. More and more distortion phenomenon is occurring in order to choice of lens for minimizing cost and system size. As shown above, correction of lens distortion is critical issue. However previous lens correction methods using camera model have problem such as nonlinear property and complicated operation. And recent lens correction methods using neural network also have accuracy and efficiency problem. In this study, I propose new algorithms for correction of lens distortion. Distorted image is divided based on the distortion quantity using k-means. And each divided image region is corrected by using neural network. As a result, the proposed algorithms have better accuracy than previous methods without image division.

Citation status

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