Paper
29 August 2016 Particle detection of porous media using scanning electron microscope images
Mengyin Fu, Meifeng Xiao, Meiling Wang, Siyuan Cheng, Xiang Li
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100334R (2016) https://doi.org/10.1117/12.2243740
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
Porous media have a wide range of applications in the field of material science and geology. The achievement of the shape parameters of a porous medium gives great significance to the reconstruction of the medium and the calculation of physical parameters such as porosity and permeability. A kind of particular porous media are focused on in the paper which are composed of randomly packed spheres made of glass. A modified Hough transform method using scanning electron microscope (SEM) images is proposed to detect the particles that compose the medium. The raw gray level image is preprocessed using a Gaussian filter. Then a modified vote mechanism is applied to transform the edge points obtained by gradient map into the accumulation array of the center locations. After a non-maximum suppression, final circle centers are picked up and their radii are estimated. The method is conducted on several SEM images, indicating the method can achieve a remarkable accuracy of ~75%.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengyin Fu, Meifeng Xiao, Meiling Wang, Siyuan Cheng, and Xiang Li "Particle detection of porous media using scanning electron microscope images", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100334R (29 August 2016); https://doi.org/10.1117/12.2243740
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KEYWORDS
Scanning electron microscopy

Particles

Hough transforms

Electron microscopes

Transducers

Optical spheres

Gaussian filters

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