Mr. Anibal Montenegro Profile

Anibal Montenegro

at Univ Autónoma de San Luis Potosi

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Proceedings Article | 3 November 2011 Paper

Optical granulometry by digital image processing

Anibal Montenegro, Yuri Nahmad Molinari, Damiano Sarocchi, Roberto Bartali, Luis Ángel Rodríguez

Proceedings Volume 8011, 80117G (2011) https://doi.org/10.1117/12.902633

KEYWORDS: Particles, Digital image processing, Image segmentation, Shape analysis, Image processing, Image resolution, Error analysis, Statistical analysis, Microfluidic imaging, Microfluidics

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For several decades the field of engineering geology, has had several difficulties to characterize properties of sedimentary particles. These particles are characterized by a multitude of sizes and shapes. For measuring the sizes there are a number of instruments based on different principles. However, the use of these instruments is not very widespread. The size of sediment particles covers several orders of magnitude therefore, the instruments have been developed do not meet all requirements. Several authors have demonstrated the feasibility to perform these tests by means of digital image processing. In this paper we propose to obtain optical particle size, morphological analysis and density, in a range of 30 microns to 50 mm. To this end we propose two assemblies that cover the range of sizes. In the proposed assembly is used as transport fluid particles. The fluid and allow a mechanism to disperse the sample, this solves the problem of segmentation in digital image processing. It uses a back-illuminated light for accurate measurement of particles due to the complexity of its component phases. By digital image processing can be 41 measurements on each particle. Furthermore allows morphological analysis using the Fourier method. A tracking algorithm to determine the density of the particles according to Stokes' law. Experiments demonstrate the accuracy and repeatability of this method compared with other methods of measurement.

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