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An Inverse Perspective Mapping-Based Approach for Generating Panoramic Image of Pipe Inner Surface
Version 1
: Received: 10 May 2023 / Approved: 11 May 2023 / Online: 11 May 2023 (05:52:28 CEST)
A peer-reviewed article of this Preprint also exists.
Yoo, S.S.; Lee, H.-S. An Inverse Perspective Mapping-Based Approach for Generating Panoramic Images of Pipe Inner Surfaces. Sensors 2023, 23, 5363. Yoo, S.S.; Lee, H.-S. An Inverse Perspective Mapping-Based Approach for Generating Panoramic Images of Pipe Inner Surfaces. Sensors 2023, 23, 5363.
Abstract
We propose an algorithm for generating a panoramic image of a pipe’s inner surface based on inverse perspective mapping (IPM). For efficient crack detection, we used only perspective images of the pipe interior that can be obtained with a single lens camera instead of those taken with a 360-degree camera or a 3D depth camera. Frontal images taken while passing through the pipe were converted to images of the inner surface of the pipe using IPM. We derived a generalized IPM formula that considers the slope of the image plane to correct image distortion caused by the tilt of the plane; this IPM formula was derived based on the vanishing point of the perspective image, which was detected using optical flow techniques. Finally, the multiple transformed images with overlapping areas were combined via image stitching to create a panoramic image of the inner pipe surface. To validate our proposed algorithm, we restored images of pipe inner surface using a 3D pipe model and used these images for crack detection.
Keywords
Pipe inspection; Inverse perspective mapping; Image stitching; Optical flow
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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