Pore detection in 3-D CT soil samples through an improved sub-segmentation method-Reference-Cited by-同舟云学术

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Pore detection in 3-D CT soil samples through an improved sub-segmentation method

Published:2018-10-24 Issue:1 Volume:70 Page:66-82
ISSN:1351-0754
Container-title:European Journal of Soil Science
language:en
Short-container-title:Eur J Soil Sci

Author:

Ojeda-Magaña B.¹,Quintanilla Domínguez J.²,Ruelas R.¹,Martín-Sotoca J. J.³,Tarquis A. M.⁴^ORCID

Affiliation:

1. Departamento de Ingeniería de Proyectos; Universidad de Guadalajara 45150; Zapopan Mexico

2. Ingeniería en Telemática, Universidad Politécnica de Juventino Rosas; Guanajuato Mexico

3. Departamento de Ciencias y TIC; Universidad Europea de Madrid; Madrid Spain

4. Grupo de Sistemas Complejos (GSC), ETSIAAB, Universidad Politécnica de Madrid (UPM), Ciudad Universitaria; Madrid Spain

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ejss.12728/fullpdf

Reference30 articles.

1. Pattern Recognition with Fuzzy Objective Function Algorithms

2. Fuzzy c-means clustering with spatial information for image segmentation;Chuang;Computerized Medical Imaging Graphics,2006

3. Detection of pore space in CT soil images using artificial neural networks;Cortina-Januchs;Biogeosciences,2011

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1. Gravelly soil uniformity identification based on the optimized Mask R-CNN model;Expert Systems with Applications;2023-02

2. Microstructure characteristics of aggregates and Cd immobilization performance under a 3–year sepiolite amendment: A field study;Science of The Total Environment;2021-12

3. Model representation and quantitative analysis of pore three-dimensional morphological structure based on soil computed tomography images;European Journal of Soil Science;2020-12-04

4. Detection and quantification of pore, solid and gravel spaces in CT images of a 3D soil sample;Applied Mathematical Modelling;2020-09

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