Generating panoramic unfolded image from borehole video acquired through APBT

In geological engineering, geological structure detection is crucial to the engineering design and implementation. One of the most commonly used method is to acquire the borehole videos by Axial View Panoramic Borehole Televiewer (APBT). However this method analyzes the borehole information by video...

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Bibliographic Details
Published in:Multimedia tools and applications 2018-10, Vol.77 (19), p.25149-25179
Main Authors: Cao, Maoyong, Deng, Zhaopeng, Rai, Laxmisha, Teng, Shenghua, Zhao, Meng, Collier, Michael
Format: Article
Language:English
Subjects:
Algorithms
Boreholes
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Design engineering
Geology
Image acquisition
Multimedia Information Systems
Quantitative analysis
Rubber
Sheet modelling
Special Purpose and Application-Based Systems
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Summary:In geological engineering, geological structure detection is crucial to the engineering design and implementation. One of the most commonly used method is to acquire the borehole videos by Axial View Panoramic Borehole Televiewer (APBT). However this method analyzes the borehole information by video playback or video snapshot, only providing a qualitative description for borehole, but cannot obtain a unfolded image to make quantitative analysis. In this paper, we propose a novel method to generate a complete borehole unfolded image from the video taken by APBT. Firstly, a center location method based on circularity is proposed to automatically locate the center of annular borehole images obtained from the borehole video. Then the annular borehole image sequences are unfolded into the borehole unfolded image sequences by the Rubber sheet model (RSM) combined with interpolation algorithm. Finally, the unfolded image sequences are fused into an entire panoramic unfolded image based on improved gray-scale projection registration algorithm. The experimental results shows that, with our proposed method, panoramic unfolded images from borehole videos with satisfying visual quality to analyze the geological conditions can be obtained efficiently.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-018-5779-x