Study on Mask Rcnn Model-based Methods for the Image Segmentation of Manufactured Sand and Gravel Aggregates-Reference-Cited by-同舟云学术

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Study on Mask Rcnn Model-based Methods for the Image Segmentation of Manufactured Sand and Gravel Aggregates

Published:2023-09-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)
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Author:

Qin Yaguang¹,Zhao Kai¹,Yu Miaoyan¹,Pan Qi¹,Huang Jiaqi¹

Affiliation:

1. Powerchina Huadong Engineering Corporation Limited,Hangzhou,China,310000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391857/10391858/10392626.pdf?arnumber=10392626

Reference21 articles.

1. Research on the properties of manufactured sand concrete with different grain composition;Xie;Concrete,2021

2. Analysis and revision suggestions of Chinese fine aggregate test method standard;Lin;Ready-mixed Concrete,2019

3. Segmentation optimization and grading detection algorithm of mixed ore images;Xie;Nonferrous Metals (Mine Section),2019

4. Ore Image Segmentation Method of Conveyor Belt Based on U-Net and Res_UNet Models;Liu;Journal of Northeast University (Natural Sciences),2019

5. Image Segmentation of Watershed Ore Based on Morphological Optimization;Cai;Science Technology and Engineering,2020

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