Ceramography and Segmentation of Polycristalline Ceramics: Application to Grain Size Analysis by Automatic Methods

Arnould, Xavier; Coster, Michel; Chermant, Jean‐Louis; Chermant, Liliane; Chartier, Thierry

doi:10.4028/www.scientific.net/kem.206-213.685

Cited by 3 publications

(3 citation statements)

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“…A morphological treatment was designed for materials with a relative density higher than 63% as described in Arnould and coworkers 14,20,21 Two methods, depending on the porosity, were developed. For materials with a relative density larger than 85%, the images of pores were first obtained.…”

Section: Image Processing and Image Analysismentioning

confidence: 99%

The use of image analysis for sintering investigations: The example of CeO2 doped with TiO2

Coster

Arnould

Chermant

et al. 2005

Journal of the European Ceramic Society

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Section: Image Processing and Image Analysismentioning

confidence: 99%

The use of image analysis for sintering investigations: The example of CeO2 doped with TiO2

Coster

Arnould

Chermant

et al. 2005

Journal of the European Ceramic Society

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“…Thresholding and segmentation of grains by watershed transform were also performed. Arnould et al 23,24 reported that morphological operation is applied for a material with a degree of densification more than 63%.…”

Section: Introductionmentioning

confidence: 99%

A novel approach toward microstructure evaluation of sintered ceramic materials through image processing techniques

Chowdhury

Dhara

Chowdhury³

et al. 2021

Int J Applied Ceramic Tech

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In this paper, an image processing technique is introduced to measure the grain size and their distributions from the SEM image of copper oxide (CuO) and titanium dioxide (TiO 2 ) doped sintered alumina ceramics accurately. The noise present in SEM image is removed by applying low pass Gaussian filter followed by suppression of regional minima over a threshold. The clarity of individual grains and grain How to cite this article: Chowdhury S, Dhara D, Chowdhury S, Haldar P, Chatterjee K, Bhattacharya TK. A novel approach toward microstructure evaluation of sintered ceramic materials through image processing techniques.

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“…Sintering CeO 2 has already been investigated by Arnould (Arnould et al, 2001;Arnould, 2002;Arnould et al, 2002;Coster et al 2005), using segmented images, as described in these references.…”

Section: Introductionmentioning

confidence: 99%

A Microstructural Model by Space Tessellation for a Sintered Ceramic: Cerine

Coster¹,

Arnould²,

Chermant³

et al. 2011

Image Anal Stereol

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This paper deals with the use of probabilistic models such as Voronoi tessellation and the Johnson-Mehl model to simulate microstructures of monophased materials. Sintered cerine was chosen to test the various models. The values of morphological parameters measured, both on such models and real microstructures are in very good agreement. An extension for porous materials is also presented. This work shows that the probabilistic models are very well suited for the simulation and description of ceramic and granular microstructures.

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Ceramography and Segmentation of Polycristalline Ceramics: Application to Grain Size Analysis by Automatic Methods

Cited by 3 publications

References 0 publications

The use of image analysis for sintering investigations: The example of CeO2 doped with TiO2

The use of image analysis for sintering investigations: The example of CeO2 doped with TiO2

A novel approach toward microstructure evaluation of sintered ceramic materials through image processing techniques

A Microstructural Model by Space Tessellation for a Sintered Ceramic: Cerine

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