Segmentation of sandstone particles based on improved watershed algorithm

Shuiping Li; Wang Qi

doi:10.1117/12.2684279

1 August 2023 Segmentation of sandstone particles based on improved watershed algorithm

Shuiping Li, Wang Qi

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542J (2023) https://doi.org/10.1117/12.2684279
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

In order to better segment the sandstone particles, this paper improves the traditional image acquisition method by adding a baffle plate and a divider plate to collect the cohesive sandstone images. The collected images are processed by a series of OpenCV libraries in the computer, including grayscale and grayscale equalization, filtering noise reduction, binarization, morphological optimization and image segmentation based on the improved watershed algorithm. In the sandstone particle segmentation experiment, By comparing the results obtained by the image method with the results obtained by the manual screening method, the experimental results show that the image method proposed in this paper can effectively segment the real sandstone particles in the sandstone segmentation of the mixing production line, and the availability of this method is very high, meeting the industrial requirements.

Citation Download Citation

Shuiping Li and Wang Qi "Segmentation of sandstone particles based on improved watershed algorithm", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542J (1 August 2023); https://doi.org/10.1117/12.2684279

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