AR-UNet: an improved attention gates Res-UNet for coal maceral image segmentation

Ouli Luo; Fanqian Meng; Hui Ding; Guoping Huo

doi:10.1117/12.3038489

22 October 2024 AR-UNet: an improved attention gates Res-UNet for coal maceral image segmentation

Ouli Luo, Fanqian Meng, Hui Ding, Guoping Huo

Proceedings Volume 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024); 132740K (2024) https://doi.org/10.1117/12.3038489
Event: Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 2024, Haikou, HI, China

Abstract

Coal maceral image analysis is crucial for predicting coal behavior in processes such as gasification and coking. However, automated segmentation of coal macerals remains challenging due to the grayscale similarity between maceral components like liptinite and the background in coal photomicrographs. In this study, we propose a novel improved network, AR-UNet, for maceral image segmentation. First, we combine attention gates with Residual UNet (Res-UNet), then incorporate an additional loss function. Furthermore, we construct a Coal Maceral image dataset to evaluate our method, comprising 908 images containing vitrinite, inertinite, and liptinite macerals. According to the evaluation based on this Coal Maceral image dataset using the Intersection over Union (IoU) and Pixel Accuracy (PA) metrics, which are widely used for assessing segmentation performance, our proposed AR-UNet model demonstrates superior performance compared to most cutting-edge segmentation algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ouli Luo, Fanqian Meng, Hui Ding, and Guoping Huo "AR-UNet: an improved attention gates Res-UNet for coal maceral image segmentation", Proc. SPIE 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 132740K (22 October 2024); https://doi.org/10.1117/12.3038489

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KEYWORDS

Image segmentation

Performance modeling

Education and training

Binary data

Machine learning

Data modeling

Image enhancement

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