Original scientific paper

https://doi.org/10.17559/TV-20240114001266

Automatic Annotation Method of Gangue Data Based on Digital Image Processing

Junpeng Zhou ; State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China *
Yongcun Guo ; State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China
Shuang Wang ; State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China
Dongyang Zhao ; State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China
Pengyu Wang ; State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China
Gang Cheng ; State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China

* Corresponding author.

Abstract

An automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the pure background of coal and gangue images, a gray threshold is used to detect. Further, the mask is used to purify the detected foreground objects, which obtain a single object image. At the same time, the manually screened coal/gangue is sampled and the category information of the currently detected objects is obtained at the same time, and the monomer sample database is established. Finally, based on the monomer sample library established, the monomers randomly were selected in the sample library and combined to generate sample images with classification and location. That is, the automatic annotation of coal gangue data is completed. The results show that the automatic annotation method of coal gangue image data through digital image processing can effectively annotate the collected coal gangue image data, with a high sample generation rate and annotation accuracy of 99%.

Keywords

coal; data annotations; gangue; image processing; X-ray

Hrčak ID:

316377

URI

https://hrcak.srce.hr/316377

Publication date:

23.4.2024.

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