Aluminium Oxide (Al&lt;inf&gt;2&lt;/inf&gt;O3) Nanopore Image Analysis Using Digital Image Processing Techniques

Bannigidad, Parashuram; Udoshi, Jalaja; Vidyasagar, C. C.

doi:10.1109/iccubea.2017.8463967

Cited by 2 publications

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“…12,13 The calcination or annealing temperature used during the synthesis of nanoparticles plays a crucial role in modifying the structural, morphological, optical, and electrical properties of the resulting nanoparticles. 14 For the morphological analysis of nanoparticles, various characterisation techniques are available such as SEM, FE-SEM, TEM and HR-TEM. 15 The microscopic images obtained from these characterisation techniques gives details about the morphology, geometry and shape.…”

Section: Introductionmentioning

confidence: 99%

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Morphological analysis and grain size distribution of SnO₂ nanoparticles via digital image processing across diverse calcination temperatures

Kumar,

Bhasin,

Chitkara

2023

Journal of Microscopy

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This study presents a comprehensive image analysis of the SnO2 nanoparticles synthesized through calcination at diverse temperatures which enables an estimation of grain size distribution (GSD) from Field Emission Scanning Electron Microscopy (FE‐SEM) images. Even though FE‐SEM images could provide us with a lot of information about sample differences, we can learn more and perform a more accurate analysis of them by using quantitative data obtained by our image processing application. The digital image processing techniques used in this research provide a detailed analysis of the nanoparticles' size and shape, enabling a deeper understanding of their unique characteristics. The results reveal the significant impact of calcination temperature on the morphology of the nanoparticles, with changes in grain size and grain size distribution observed at varying temperatures.This article is protected by copyright. All rights reserved

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Section: Introductionmentioning

confidence: 99%

“…Hence, it is crucial to conduct research in this area and study the impact of these variables 12,13 . The calcination or annealing temperature used during the synthesis of nanoparticles plays a crucial role in modifying the structural, morphological, optical, and electrical properties of the resulting nanoparticles 14 …”

Section: Introductionmentioning

confidence: 99%

Morphological analysis and grain size distribution of SnO₂ nanoparticles via digital image processing across diverse calcination temperatures

Kumar,

Bhasin,

Chitkara

2023

Journal of Microscopy

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“…A two-dimensional (2D) nanoporous membrane was presented by Guo-Rong Xu [11]. Parashuram B processed the nanoporous images and cocci bacterial cells using image processing techniques [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Aluminium Oxide Nanoporous Images using different Segmentation Techniques

Bannigidad¹,

Udoshi*²,

Vidyasagar³

2019

IJITEE

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The characterizations of the nanoporous membrane require appropriate segmentation of the pores. The segmentation technique used for one category or class of image may not be suitably applied to the other class of images. Selecting the ubiquitous segmentation technique that can be applied to all image types is a challenging issue. In spite of several decades of research, there is no ubiquitously accepted method for image segmentation and therefore it remains a challenge in digital image processing. The objective of the present study is to automate the system with five different segmentation techniques; global thresholding, active contour, K-means, region growing and watershed to extort the pore from the experimental Al2O3 FESEM images, synthesized using different anodizing parameters. The geometrical features; nanopore wall thickness, pore size and porosity are computed for all the experimental images with the proposed segmentation techniques and are compared with the manual results. The variation in the proposed and manual results, referred to as error is computed. It is observed that the average error for the segmented pore characteristics using global thresholding, active contour, K-means, region growing and watershed are 7%, 14%, 13%, 18% and 20% respectively. The analysis predicts, error in using global thresholding segmentation technique is least, as compared to other methods and thus, it is considered the most appropriate segmentation technique among the five methods mentioned in the present study to segment the experimental Al2O3 FESEM images.

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Aluminium Oxide (Al<inf>2</inf>O3) Nanopore Image Analysis Using Digital Image Processing Techniques

Cited by 2 publications

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Morphological analysis and grain size distribution of SnO₂ nanoparticles via digital image processing across diverse calcination temperatures

Morphological analysis and grain size distribution of SnO₂ nanoparticles via digital image processing across diverse calcination temperatures

Characterization of Aluminium Oxide Nanoporous Images using different Segmentation Techniques

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Aluminium Oxide (Al<inf>2</inf>O3) Nanopore Image Analysis Using Digital Image Processing Techniques

Cited by 2 publications

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Morphological analysis and grain size distribution of SnO2 nanoparticles via digital image processing across diverse calcination temperatures

Morphological analysis and grain size distribution of SnO2 nanoparticles via digital image processing across diverse calcination temperatures

Characterization of Aluminium Oxide Nanoporous Images using different Segmentation Techniques

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Morphological analysis and grain size distribution of SnO₂ nanoparticles via digital image processing across diverse calcination temperatures

Morphological analysis and grain size distribution of SnO₂ nanoparticles via digital image processing across diverse calcination temperatures