Paper
13 June 2024 Feature extraction and matching for 3D coal pile images reconstruction of coal-fired power plants by ORB-edge coupling method
Wanlong Wu, Naichao Chen
Author Affiliations +
Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318012 (2024) https://doi.org/10.1117/12.3033560
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China
Abstract
With the continuous improvement on the refined management of coal-fired power plant, it is a necessary task to accurately obtain the total quantity of coal in power plant. In this paper, ORB (Oriented Fast and Rotated Brief) - edge coupling method was proposed for the coal pile to strengthen the weak texture boundary of coal pile images, and thus improve the feature extraction and matching capacity. The results showed that our proposed algorithm can increase the number of feature points by a factor of about 10 times relatively to the ORB algorithm. Furthermore, three types of coal piles were examined to evaluate the number of feature points. The results showed that the accuracy rate of feature point matching can reach up to 90%, indicating that our proposed algorithm has the good effectiveness and applicability.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wanlong Wu and Naichao Chen "Feature extraction and matching for 3D coal pile images reconstruction of coal-fired power plants by ORB-edge coupling method", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318012 (13 June 2024); https://doi.org/10.1117/12.3033560
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KEYWORDS
Feature extraction

Reconstruction algorithms

3D image processing

Edge detection

Image processing

Image restoration

3D modeling

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