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Aggregate segmentation of asphaltic mixes using digital image processing

O.J. Reyes-Ortiz M. Mejía J.S. Useche-Castelblanco

Bulletin of the Polish Academy of Sciences Technical Sciences | 2019 | 67 | No. 2 | 279-287 | DOI: 10.24425/bpas.2019.128115

Keywords digital image processing asphalt mixtures morphological operations particle segmentation

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Abstract

The study of the different engineering materials according to their mechanical and dynamic characteristics has become an area of research interest in recent years. Several studies have verified that the mechanical properties of the material are directly affected by the distribution and size of the particles that compose it. Such is the case of asphalt mixtures. For this reason, different digital tools have been developed in order to be able to detect the structural components of the elements in a precise, clear and efficient manner. In this work, a segmentation model is developed for different types of dense-graded asphalt mixtures with grain sizes from 9.5 mm to 0.0075 mm, using sieve size reconstruction of the laboratory production curve. The laboratory curve is used to validate the particles detection model that uses morphological operations for elements separation. All this with the objective of developing a versatile tool for the analysis and study of pavement structures in a non-destructive test. The results show that the model presented in this work is able to segment elements with an area greater than 0.0324 mm2 and reproduce the sieve size curves of the mixtures with a high percentage of precision.

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Authors and Affiliations

O.J. Reyes-Ortiz

M. Mejía

J.S. Useche-Castelblanco

Enhanced of Tool Management Based on Machine Vision in the Field of Metal Forming Technology

S. Świłło R. Cacko

Archives of Metallurgy and Materials | 2022 | vol. 67 | No 4 | 1419-1425 | DOI: 10.24425/amm.2022.141069

Keywords die aluminium extrusion tool management machine vision digital image processing

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Abstract

In this article, the authors focused on the widely used aluminium extrusion technology, where the die quality and durability are the essential factors. In this study, detailed solutions in the three-key area have been presented. First is applying marking technology, where a laser technique was proposed as a consistent light source of high power in a selected, narrow spectral range. In the second, an automated and reliable identification method of alphanumeric characters was investigated using an advanced machine vision system and digital image processing adopted to the industrial conditions. Third, a proposed concept of online tool management was introduced as an efficient process for properly planning the production process, cost estimation and risk assessment. In this research, the authors pay attention to the designed vision system’s speed, reliability, and mobility. This leads to the practical, industrial application of the proposed solutions, where the influence of external factors is not negligible.

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Authors and Affiliations

S. Świłło

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R. Cacko

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Warsaw University of Technology, Metal Forming and Foundry, Faculty of Mechanical and Industrial Engineering, 85 Narbutta Str., 02-525, Warszawa, Poland

Time performance of RGB to HSI colour space transformation methods

Andrzej Ziemba Elżbieta Fornalik-Wajs

Archives of Thermodynamics | 2018 | vol. 39 | No 1 | DOI: 10.1515/aoter-2018-0006

Keywords Digital image processing Optical measurement method RGB to HSI colour space transformation Linear transformation Time performance Relative computational time

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Abstract

Present paper is a continuation of works on evaluation of red, green, blue (RGB) to hue, saturation, intensity (HSI) colour space transformation in regard to digital image processing application in optical measurements methods. HSI colour space seems to be the most suitable domain for engineering applications due to its immunity to non-uniform lightning. Previous stages referred to the analysis of various RGB to HSI colour space transformations equivalence and programming platform configuration influence on the algorithms execution. The main purpose of this step is to understand the influence of computer processor architecture on the computing time, since analysis of images requires considerable computer resources. The technical development of computer components is very fast and selection of particular processor architecture can be an advantage for fastening the image analysis and then the measurements results. In this paper the colour space transformation algorithms, their complexity and execution time are discussed. The most common algorithms were compared with the authors own one. Computing time was considered as the main criterion taking into account a technical advancement of two computer processor architectures. It was shown that proposed algorithm was characterized by shorter execution time than in reported previously results.

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Authors and Affiliations

Andrzej Ziemba

Elżbieta Fornalik-Wajs

Single-camera system for measuring paper deformations based on image analysis

Paweł Pełczyński Włodzimierz Szewczyk Maria Bieńkowska

Metrology and Measurement Systems | 2021 | vol. 28 | No 3 | 509-522 | DOI: 10.24425/mms.2021.137130

Keywords digital image processing characteristic point tracking paper physical properties deformation analysis Poisson’s ratio

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Abstract

The article presents a new technique for measuring paper deformation in unidirectional tensile tests, based on recording and analysis of a series of specimen images. The proposed technique differs from the DIC-based deformation measurement in that the cross-correlation of image data has been replaced with linear filtering. For this purpose, a regular grid of markers is printed on the sample. Filtering the image creates local maxima in the places where markers occur. The developed algorithm finds their location with sub-pixel accuracy. Printing a grid of markers on tested paper and use of reference objects visible in the same image as the paper sample, freed from the need to mechanically connect the camera and the universal testing machine and from the necessity to electronically synchronize their work. The obtained deformation distributions and Poisson’s ratios are in accordance with the literature data which confirms the correctness of the developed measurement technique.

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Bibliography

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Authors and Affiliations

Paweł Pełczyński

Włodzimierz Szewczyk

Maria Bieńkowska

Centre of Papermaking and Printing, Lodz University of Technology, 90-924 Lodz, Wolczanska 223, Poland

Experimental investigation into material characteristics of pea gravel

Jinliang Zhang Qiuxiang Huang Chao Hu Zhiqiang Wang

Archives of Civil Engineering | 2021 | vol. 67 | No 3 | 415-435 | DOI: 10.24425/ace.2021.138063

Keywords pea gravel morphological properties uncompacted void content compressive strength digital image processing shield TBM

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Abstract

Pea gravel is a kind of a coarse aggregate with a specific particle size used to fill the annular gap between the lining segments and the surrounding ground when tunnel construction with shield machines is performed in hard rock. The main purpose of the present study is to propose quantitative morphological indices of the pea gravel and to establish their relations with the void content of the aggregate and the compressive strength of the mixture of pea gravel and slurry (MPS). Results indicate that the pea gravel of the crushed rock generally have a larger void content than that of the river pebble, and the grain size has the highest influence on the void ratio. Elongation, roughness and angularity have moderate influences on the void ratio. The content of the oversize or undersize particles in the sample affects the void ratio of the granular assembly in a contrary way. The compressive strength of the MPS made with the river pebble is obviously smaller than that of the MPS made with the crushed rock. In the crushed rock samples, the compressive strength increases with the increase of the oversize particle content. The relations between the morphological properties and the void content, and the morphological properties and the compressive strength of the MPS are expressed as regression functions. The outcomes of this study would assist with quality assessments in TBM engineering for the selection of the pea gravel material and the prediction of the compressive strength of the MPS.

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Authors and Affiliations

Jinliang Zhang

Qiuxiang Huang

e-mail:

ORCID:

Chao Hu

Zhiqiang Wang

Yellow River Engineering Consulting Co., Ltd. Zhengzhou, Henan, China
State Key Lab of Geohazard Prevention and Environment Protection (SKLGP), Chengdu University of Technology (CDUT), Chengdu, Sichuan, China

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Aggregate segmentation of asphaltic mixes using digital image processing

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Enhanced of Tool Management Based on Machine Vision in the Field of Metal Forming Technology

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Authors and Affiliations

Time performance of RGB to HSI colour space transformation methods

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Authors and Affiliations

Single-camera system for measuring paper deformations based on image analysis

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Bibliography

Authors and Affiliations

Experimental investigation into material characteristics of pea gravel

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Authors and Affiliations