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http://dx.doi.org/10.7839/ksfc.2022.19.3.016

Development of Aggregate Recognition Algorithm for Analysis of Aggregate Size and Distribution Attributes  

Seo, Myoung Kook (Smart Engineering Lab. Korea Constructions Equipment Technology Institute)
Lee, Ho Yeon (Smart Engineering Lab. Korea Constructions Equipment Technology Institute)
Publication Information
Journal of Drive and Control / v.19, no.3, 2022 , pp. 16-22 More about this Journal
Abstract
Crushers are equipment that crush natural stones, to produce aggregates used at construction sites. As the crusher proceeds, the inner liner becomes worn, causing the size of the aggregate produced to gradually increase. The vision sensor-based aggregate analysis system analyzes the size and distribution of aggregates in production, in real time through image analysis. This study developed an algorithm that can segmentate aggregates in images in real time. using image preprocessing technology combining various filters and morphology techniques, and aggregate region characteristics such as convex hull and concave hull. We applied the developed algorithm to fine aggregate, intermediate aggregate, and thick aggregate images to verify their performance.
Keywords
Crusher; Vision Sensor; Aggregate recognition; Segmentation;
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Times Cited By KSCI : 2  (Citation Analysis)
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