Abstract
Keeping in mind indirect and direct methods used for the quantification of aggregates, Digital Image Processing (DIP) based system for the measurement of volume, equivalent volume diameter, sphericity, roundness index of coarse aggregate particles is developed. The system is calibrated using standard objects such as marbles, coins and then used for the measurement of coarse aggregate particles having varied characteristics. The system is applied to four types of aggregates. Analysis of the various shape characteristics shows that sphericity is the most effective measure. The developed system is successfully implemented to study aggregate characteristics.
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Mangulkar, M.N., Ghosh, S., Jamkar, S.S. (2020). Estimation of Aggregate Characteristics Using Digital Image Processing. In: Gunjan, V., Singh, S., Duc-Tan, T., Rincon Aponte, G., Kumar, A. (eds) ICRRM 2019 – System Reliability, Quality Control, Safety, Maintenance and Management. ICRRM 2019. Springer, Singapore. https://doi.org/10.1007/978-981-13-8507-0_2
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DOI: https://doi.org/10.1007/978-981-13-8507-0_2
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