Fourier Shape Analysis, FSA: Freeware for quantitative study of particle morphology

Moreno, Gamaliel; Castillo-Rivera, F.; Montenegro-Ríos, J.A.; Borselli, L.; Rodríguez-Sedano, L.A.; Sarocchi, Damiano

doi:10.1016/j.jvolgeores.2020.107008

Cited by 11 publications

(4 citation statements)

References 31 publications

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“…Particle shape quantification is an important analysis carried out in a range of geological disciplines such as sedimentary geology [1], volcanology [2,3], geomorphology [4], structural geology [5], and petrology [6]. In sedimentary geology, shape quantification has been used as a tool to decipher the origin, transport, and deposition history of sedimentary particles.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost, Repeatable Method for 3D Particle Analysis with SfM Photogrammetry

Tunwal

2023

Geosciences

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The characterisation of particle shape is an important analysis in the field of sedimentary geology. At finer scales, it is key for understanding sediment transport while at coarser scales, such as boulders, it is vital for coastal protection. However, the accurate characterisation of particle shape is restricted by the application of 2D imaging for 3D objects or expensive and time-consuming 3D imaging methods such as X-ray tomography or laser scanning. This research outlines a low-cost, easy-to-use 3D particle imaging and shape characterisation methodology employing structure-from-motion (SfM) photogrammetry. A smartphone device was used to capture 2D images of pebble/cobble-sized samples, which were converted to 3D image models using SfM. The 3D image models were then analysed using a comprehensive set of 16 size and shape parameters. Furthermore, a minimum resolution, independent of particle size, is proposed here for the 3D image models for reliable and reproducible size and shape analysis. Thus, the methodology presented here for 3D particle imaging and size and shape analysis can be translated for a range of particle sizes. This work thus opens a pathway for the use of readily accessible imaging devices, such as smartphones, to flexibly obtain image data both in situ as well as in laboratories, thus providing an immensely powerful tool for research and teaching.

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Section: Introductionmentioning

confidence: 99%

A Low-Cost, Repeatable Method for 3D Particle Analysis with SfM Photogrammetry

Tunwal

2023

Geosciences

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“…The morphological (and possibly also textural) information for one grain is specified by a set of M variables (i.e., shape parameters), which might or might not be statistically independent from one another. Two-dimensional shape parameters can range from descriptors of basic geometrical characteristics (e.g., Dellino and La Volpe 1996;Cioni et al 2014;Leibrandt and Le Pennec 2015;Liu et al 2015) to more complex parameters that are the result of fractal analysis (Dellino and Liotino 2002;Maria and Carey 2002) and curvature plots (Tunwal et al 2020) or extracted from Fourier shape analysis (Barrett 1980;Suzuki et al 2015;Chávez et al 2020). In recent years, novel scanning techniques have allowed the retrieval of 3dimensional shape parameters, such as, e.g., fractal dimension (Rausch et al 2015;Vonlanthen et al 2015;Dioguardi et al 2017), aspect ratio of the best fit ellipsoid (Vonlanthen et al 2015) or 3Dsphericity (Mele et al 2011;Vonlanthen et al 2015;Dioguardi et al 2017).…”

Section: Introductionmentioning

confidence: 99%

A review of statistical tools for morphometric analysis of juvenile pyroclasts

et al. 2021

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Morphometric analyses are based on multiparametric datasets that describe quantitatively the shapes of objects. The stochastic nature of fracture-formation processes that break up magma during explosive eruptions yields mixtures of particles that have highly varied shapes. In volcanology morphometric analysis is applied to these mixtures of particles with diverse shapes for two purposes: (1) to fingerprint tephra from individual eruptions and use the fingerprints to distinguish among tephra layers and determine their extents, and (2) to reconstruct eruption processes, by linking particles formed by known fragmentation processes in experiments with particles from natural pyroclastic deposits. Here we review the most commonly adopted statistical techniques for morphometric analysis of pyroclasts. We provide sets of objects with different shapes, along with their morphometric data, in order to demonstrate and illustrate the methods. They can be used not only for addressing the processes of fragmentation during explosive eruptions, but also for the characterization of other types of solid particles with complex morphologies.

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“…Today, several available devices automatically and objectively analyse the shape of grains [14][15][16][22][23][24][25]. One of them is the Morphologi G3SE.…”

Section: Introductionmentioning

confidence: 99%

Morphometric Parameters of Krumbein Grain Shape Charts—A Critical Approach in Light of the Automatic Grain Shape Image Analysis

Szmańda

Witkowski

2021

Minerals

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Grain-shape analyses are essential in geological research because they provide the basis for genetic interpretations, including sedimentation conditions. The methods of visual evaluation used so far have been subjective, time-consuming and labour intensive. Automatic particle image analysis, including the methods used by the Morphology G3SE device, open up the possibility of mass and objective roundness analysis of mineral and organic particles. The article presents the results of measurements for the grain scale proposed by Krumbein in 1941, as this scale has been used in numerous sedimentological studies. The standard shapes were analysed using four parameters: High Sensitivity (HS) Circularity, Convexity, Solidity and Aspect Ratio. In the discussion, both the results and the grain-shape standards were critically assessed. The most important trends in the distribution of morphometric parameters of the scale are shown. On this basis, it was found that it is impossible to determine the parameter boundary values that would distinguish each class of grain roundness proposed by Krumbein. The conclusions propose criteria for the automatic differentiation of angular, subrounded and rounded grains, which could be a basis for describing the shape of mineral particles.

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Fourier Shape Analysis, FSA: Freeware for quantitative study of particle morphology

Cited by 11 publications

References 31 publications

A Low-Cost, Repeatable Method for 3D Particle Analysis with SfM Photogrammetry

A Low-Cost, Repeatable Method for 3D Particle Analysis with SfM Photogrammetry

A review of statistical tools for morphometric analysis of juvenile pyroclasts

Morphometric Parameters of Krumbein Grain Shape Charts—A Critical Approach in Light of the Automatic Grain Shape Image Analysis

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