Image-Based Detection of the Fineness Modulus of Manufactured Sand

With the improvement of economic levels, the quantity and scale of buildings continue to increase, enhancing the importance of manufactured sand. Fineness modulus is the most important indicator for measuring the performance of manufactured sand. However, current methods for detecting the fineness modulus are time-consuming, labor-intensive, and costly. To address these problems, this paper proposes a method based on an instance segmentation model in deep learning, revealing for the first time the relationship between the fineness modulus and image features, and establishes a regression model based on this relationship. Additionally, a manufactured sand fineness modulus detection system is designed in this paper, thereby achieving automated detection of the fineness modulus of manufactured sand, saving labor and reducing detection costs.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865722
Primary Topic
Materials Engineering and Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Image-Based Detection of the Fineness Modulus of Manufactured Sand

Xiaoyan Liu, Xiaoyang Wu, Fei Li
Materials Engineering and Processing
article

Image-Based Detection of the Fineness Modulus of Manufactured Sand

Xiaoyan Liu, Xiaoyang Wu, Fei Li
article en

Abstract

With the improvement of economic levels, the quantity and scale of buildings continue to increase, enhancing the importance of manufactured sand. Fineness modulus is the most important indicator for measuring the performance of manufactured sand. However, current methods for detecting the fineness modulus are time-consuming, labor-intensive, and costly. To address these problems, this paper proposes a method based on an instance segmentation model in deep learning, revealing for the first time the relationship between the fineness modulus and image features, and establishes a regression model based on this relationship. Additionally, a manufactured sand fineness modulus detection system is designed in this paper, thereby achieving automated detection of the fineness modulus of manufactured sand, saving labor and reducing detection costs.

Hunan University (CN)
Natural Science Foundation of Fujian Province
Openalex Percentile: Top 73%
Materials Engineering and Processing
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Image-Based Detection of the Fineness Modulus of Manufactured Sand — Xiaoyan Liu, Xiaoyang Wu, et al. · (2024) | TGRS Research Map | TGRS