Title: Research on fast video mapping method of borehole in front view

Authors: Qunpo Liu; Qijing Wang; Ruxin Gao; Junjia Bi; Naohiko Hanajima

Addresses: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan, China; Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment Jiaozuo, Henan, China ' School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan, China ' School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan, China; Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment, Jiaozuo, Henan, China ' School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan, China ' Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment, Jiaozuo, Henan, China; College of Information and Systems, Muroran Institute of Technology, Muroran, Hokkaido, Japan

Abstract: Camera borehole technology is widely used in borehole engineering, which can obtain the structure of deep-buried rock mass. However, when people recognise these images, there will be problems such as heavy workload, low efficiency and easy recognition errors. In order to solve these problems, this paper proposes a fast unfolding mosaic and fusion method of looped image in the forward view video. This paper proposes a borehole image expansion method with autonomous positioning of the borehole centre and adaptive adjustment of the expansion radius to achieve rapid and automatic image expansion. On this basis, an adaptive adjustment algorithm of image stitching points based on grey difference registration is proposed, which solves the defect of determining stitching points by artificial experience. The practical results show that the image mosaic technology is simple, the processing is flexible and efficient and the forward view borehole expansion map obtained has an ideal effect.

Keywords: image expansion; image mosaic; CLAHE; image processing.

DOI: 10.1504/IJCCPS.2022.124878

International Journal of Cybernetics and Cyber-Physical Systems, 2022 Vol.1 No.2, pp.209 - 222

Received: 26 Feb 2022
Accepted: 09 Mar 2022
Published online: 13 Aug 2022 *

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