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Title: Image binarization to calculate porosity of porous anodic oxides and derivation of porosity vs current

Abstract

Highlights: • A facile method based on image binarization is introduced to calculate porosity. • The method is compared with two popular methods, to show higher accuracy. • The method is tested to show robustness under different brightness and contrast. • Mathematical derivation of porosity vs current is provided. - Abstract: Current methods to calculate porosity of tubular or porous structures are either inaccurate or complicated for operation. We introduce a facile method (M7) based on image binarization of top-view specimen images from scanning electron microscopy. M7 is both accurate and convenient, and shows high robustness regardless of external parameters like brightness or contrast. Relation between porosity and applied current during galvanostatic anodization is derived. The porosity-current relation differs in aqueous and organic solution, which can be explained as different conductivity of two electrolytes.

Authors:
 [1];  [1];  [2]; ; ;  [1];  [3];  [1]
  1. Key Laboratory of Soft Chemistry and Functional Materials of Education Ministry, Nanjing University of Science and Technology, Nanjing 210094 (China)
  2. College of Elite Education, Nanjing University of Science and Technology, Nanjing 210094 (China)
  3. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444 (China)
Publication Date:
OSTI Identifier:
22730384
Resource Type:
Journal Article
Journal Name:
Materials Research Bulletin
Additional Journal Information:
Journal Volume: 93; Other Information: Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0025-5408
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; ANODIZATION; AQUEOUS SOLUTIONS; IMAGES; NANOSTRUCTURES; OXIDES; POROSITY; POROUS MATERIALS; SCANNING ELECTRON MICROSCOPY; SURFACE PROPERTIES; THIN FILMS

Citation Formats

Zhao, Siwei, College of Elite Education, Nanjing University of Science and Technology, Nanjing 210094, Fan, Haowen, Yin, Ning, Lin, Tong, Zhang, Shaoyu, Xu, Xuran, Ma, Jing, and Zhu, Xufei. Image binarization to calculate porosity of porous anodic oxides and derivation of porosity vs current. United States: N. p., 2017. Web. doi:10.1016/J.MATERRESBULL.2017.04.031.
Zhao, Siwei, College of Elite Education, Nanjing University of Science and Technology, Nanjing 210094, Fan, Haowen, Yin, Ning, Lin, Tong, Zhang, Shaoyu, Xu, Xuran, Ma, Jing, & Zhu, Xufei. Image binarization to calculate porosity of porous anodic oxides and derivation of porosity vs current. United States. https://doi.org/10.1016/J.MATERRESBULL.2017.04.031
Zhao, Siwei, College of Elite Education, Nanjing University of Science and Technology, Nanjing 210094, Fan, Haowen, Yin, Ning, Lin, Tong, Zhang, Shaoyu, Xu, Xuran, Ma, Jing, and Zhu, Xufei. 2017. "Image binarization to calculate porosity of porous anodic oxides and derivation of porosity vs current". United States. https://doi.org/10.1016/J.MATERRESBULL.2017.04.031.
@article{osti_22730384,
title = {Image binarization to calculate porosity of porous anodic oxides and derivation of porosity vs current},
author = {Zhao, Siwei and College of Elite Education, Nanjing University of Science and Technology, Nanjing 210094 and Fan, Haowen and Yin, Ning and Lin, Tong and Zhang, Shaoyu and Xu, Xuran and Ma, Jing and Zhu, Xufei},
abstractNote = {Highlights: • A facile method based on image binarization is introduced to calculate porosity. • The method is compared with two popular methods, to show higher accuracy. • The method is tested to show robustness under different brightness and contrast. • Mathematical derivation of porosity vs current is provided. - Abstract: Current methods to calculate porosity of tubular or porous structures are either inaccurate or complicated for operation. We introduce a facile method (M7) based on image binarization of top-view specimen images from scanning electron microscopy. M7 is both accurate and convenient, and shows high robustness regardless of external parameters like brightness or contrast. Relation between porosity and applied current during galvanostatic anodization is derived. The porosity-current relation differs in aqueous and organic solution, which can be explained as different conductivity of two electrolytes.},
doi = {10.1016/J.MATERRESBULL.2017.04.031},
url = {https://www.osti.gov/biblio/22730384}, journal = {Materials Research Bulletin},
issn = {0025-5408},
number = ,
volume = 93,
place = {United States},
year = {Fri Sep 15 00:00:00 EDT 2017},
month = {Fri Sep 15 00:00:00 EDT 2017}
}