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An Inverse Perspective Mapping-Based Approach for Generating Panoramic Images of Pipe Inner Surfaces.

Sung Sic Yoo1, Heung-Shik Lee1

  • 1Department of Smart Mobility Engineering, Joongbu University, 305 Dongheon-ro, Deogyang-gu, Goyang-si 21713, Gyeonggi-do, Republic of Korea.

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Summary
This summary is machine-generated.

This study introduces an algorithm using inverse perspective mapping (IPM) to create panoramic pipe images for crack detection. The method generates detailed internal pipe surface views without specialized equipment, aiding visual inspection.

Keywords:
image stitchinginverse perspective mappingoptical flowpipe inspection

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Area of Science:

  • Computer Vision
  • Image Processing
  • Non-Destructive Testing

Background:

  • Pipe inspection is crucial for infrastructure integrity.
  • Current methods for internal pipe crack detection can be costly or inefficient.
  • Generating comprehensive surface data from internal pipe images is challenging.

Purpose of the Study:

  • To develop an algorithm for generating panoramic images of a pipe's inner surface.
  • To enable efficient crack detection without high-performance equipment.
  • To create a detailed visual representation of the entire internal pipe surface.

Main Methods:

  • Utilized inverse perspective mapping (IPM) to convert frontal images to inner surface views.
  • Derived a generalized IPM formula accounting for image plane slope and vanishing points.
  • Employed optical flow techniques to detect vanishing points for distortion correction.
  • Applied image stitching to combine multiple transformed images into a seamless panoramic view.

Main Results:

  • Successfully generated panoramic images of pipe inner surfaces.
  • The algorithm accurately represented crack positions and shapes.
  • Validated the method using a 3D pipe model for crack detection.

Conclusions:

  • The proposed IPM-based algorithm effectively creates panoramic pipe images for crack detection.
  • This technique offers a cost-effective solution for internal pipe inspection.
  • The generated panoramic views enhance the potential for visual and image-processing-based crack analysis.