Morphology characterization of irregular particles using image analysis. Application to solid inorganic fertilizers

Le, Tien-Thinh; Miclet, D.; Héritier, Philippe; Piron, E.; Chateauneuf, Alaa; Berducat, Michel

doi:10.1016/j.compag.2018.02.022

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…Examining the correlation of particles with basic geometric objects is an unusual approach to shape description that is seldom found in the literature. When applied, authors typically use shape parameters as decision thresholds [44]. Igathinathane et al conducted successful tests and identified multiple shape parameters that were good predictors for shape.…”

Section: Introductionmentioning

confidence: 99%

An Image-Processing Tool for Size and Shape Analysis of Manufactured Irregular Polyethylene Microparticles

Fritz,

Deutsch,

Wijaya

et al. 2024

Microplastics

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Microplastics (MPs) pose a significant risk to humans and animals due to their ability to absorb, adsorb, and desorb organic pollutants. MPs catchment from either sediments or water bodies is crucial for risk assessment, but fast and effective particle quantification of irregularly shaped particles is only marginally addressed. Many studies used microscopy methods to count MP particles, which are tedious for large sample sizes. Alternatively, this work presents an algorithm developed in the free software GNU Octave to analyze microscope images of MP particles with variable sizes and shapes. The algorithm can detect and distinguish different particles, compensate for uneven illumination and low image contrast, find high-contrast areas, unify edge regions, and fill the remaining pixels of stacked particles. The fully automatic algorithm calculates shape parameters such as convexity, solidity, reciprocal aspect ratio, rectangularity, and the Feret major axis ratio and generates the particle size distribution. The study tested low-density polyethylene particles with sizes of 50–100 µm and 200–300 µm. A scanning electron microscope image series analyzed with Octave was compared to a manual evaluation using ImageJ. Although the fully automatic algorithm did not identify all particles, the comprehensive tests demonstrate a qualitatively accurate particle size and shape monitoring applicable to any MPs, which processes larger data sets in a short time and is compatible with MATLAB-based codes.

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Section: Introductionmentioning

confidence: 99%

An Image-Processing Tool for Size and Shape Analysis of Manufactured Irregular Polyethylene Microparticles

Fritz,

Deutsch,

Wijaya

et al. 2024

Microplastics

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“…Additionally, the more the shape of the pellet is similar to an ideal circle, the longer the distance of its flight, because of its aerodynamic properties. Hardness of the pellet prevents the disks of the pellet spreader from breaking it apart [32].…”

Section: Introductionmentioning

confidence: 99%

Method for Volume of Irregular Shape Pellets Estimation Using 2D Imaging Measurement

et al. 2020

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Growing population and decreasing amount of cultivated land conditions the increase of fertilizer demand. With the advancements of computerized equipment, more complex methods can be used for solving complex mathematical problems. In the fertilizer industry, the granulometric composition of products matters as much as the quality of production of chemical composition products. The shape and size of pellets determines their distribution over cultivated land areas. The effective distance of field spreading is directly related to the size and shape parameters of a pellet. Therefore, the monitoring of production in production lines is essential. The standard direct methods of the monitoring and control of granulometric composition requires too much time and human resources. These factors can be eliminated by using imaging measuring methods that have a variety of benefits, but require additional research in order to assure and determine the compliance of real-time results with results of the control equipment. One of the fastest, most flexible and largest amount of data providing methods is the processing and analysis of digital images. However, then we face the issue of the suitability of 2D images to be used for the evaluation of granulometric compositions, where processing of digital images provides only two dimensions of a pellet: length and width. This study proposes a method of evaluating an irregular pellet. After experimental research we determined < 2% of discrepancy when compared to the real volume of a pellet.

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“…Dynamic Image Analysis (DIA) has recently been widely used for the characterization of various materials not only ores and minerals but also tailings [1,2,[13][14][15]. In a recent study [16] dynamic image analysis was used to characterize the morphology of 45 mineral fertilizers, with grain shapes ranging from highly irregular to nearly spherical. Most relevant parameters like Circularity and Angularity were calculated as outputs of the image-processing treatment.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Particle Shapes of Conventionally Ground Barite, Calcite and Talc Minerals by Dynamic Imaging Technique: A Review

Ulusoy

2020

EUREKA: Physics and Engineering

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Shape of particles made by grinding is one of the important measures for determining the utilizations of industrial minerals namely barite, calcite, and talc particles, particularly at production (like coating pigments, paints, rubber and paper) and processing stages (beneficiation by flotation). Therefore, measurement of particle characteristics is a critical issue in the development and control of industrial mineral products in most of the industries for some demanding applications. Ball and rod mills are commonly used as conventional grinding mills to produce a controlled grind size for the flotation circuit in the beneficiation of industrial minerals. Dynamic Image Analysis (DIA) offers reproducible results of a huge number of particles for some industrial minerals namely, barite [1], calcite [2] and talc [3] particles, whose shapes are crucial for some industries utilized as fillers. Thus, this review is about the comparison of shape values in terms of circularity (C) and bounding rectangle aspect ratio (BRAR) determined by the real time DIA. It was found that the shape results of the previous studies for the same samples by SEM measurement [4] were in good agreement with DIA results. It was concluded that the more rounded particles were encountered in the rod milled products for calcite and barite minerals. On the other hand, the more elongated particles were found in the ball milled products for talc mineral. It was attributed to the material type since the same mills were used for all tests. Hence, DIA can be used as a useful tool, which is easy, fast and highly accurate to control the particle shape distributions whether the required powder is fit for use

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Morphology characterization of irregular particles using image analysis. Application to solid inorganic fertilizers

Cited by 9 publications

References 26 publications

An Image-Processing Tool for Size and Shape Analysis of Manufactured Irregular Polyethylene Microparticles

An Image-Processing Tool for Size and Shape Analysis of Manufactured Irregular Polyethylene Microparticles

Method for Volume of Irregular Shape Pellets Estimation Using 2D Imaging Measurement

Comparison of Particle Shapes of Conventionally Ground Barite, Calcite and Talc Minerals by Dynamic Imaging Technique: A Review

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