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Descripción
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| Computed Tomography and Image Processing techniques have proved to be efficient in studies related to soil structure. They are important tools to research porous materials. It has been recognized that the study of pores in porous material is highly complex, because soil is susceptible to many changes, like wetting, plant growth, and so on. For this reason, nowaday we can find studies that involve techniques from several mathematical subjects, such Statistics, Function Analysis, Computational Geometry and Fractal Geometry. Soil is formed from many materials and in this work we will apply techniques to simplify soil images and we will look for a two?phase representation, solid and pore. There are many algorithms to segmentate images into several regions and, concretely, to binarize them. Later, we will use this binarization to estimate the porosity of that soil. We can find a lot of different algorithms to segmentate digital images because we can choose criteria based on greylevel, texture, histogram, and many others. One of the most famous methods to segmentate images is the Otsu's method. The Otsu's method is a grey?level histogram based segmentation algorithm, it is a global binarization method, that binarizes an image into two groups, with the threshold which minimizes the within group variance. The variance is the result of minimizing the mean squared error, that is associated to the Euclidean distance. Instead of this, we propose a method that applies the Minkowski distance functions. Finally we present results of this binarization applied to compute soil porosity. | |
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Internacional
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Si |
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Nombre congreso
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Pedometrics 2015 |
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Tipo de participación
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960 |
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Lugar del congreso
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Córdoba |
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Revisores
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Si |
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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14/09/2015 |
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Fecha fin congreso
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18/09/2015 |
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Desde la página
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141 |
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Hasta la página
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141 |
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Título de las actas
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Pedometrics 2015. Book of Abstracts |