Abstract
The applications in nanotechnology require customized nanopore membrane. The structure and number of nanopore on the oxidized metal template rely upon the anodizing parameters used in the electro-chemical cell during the nanopore synthesis. The fundamental idea of this paper is to develop an automated system to quantify the effect of time on aluminum nanopore through advanced minuscule FESEM images. The test results foresee that, the increase in anodization time results in gradual increment in porosity and pore size estimating from 0.234% to 2.034% and 32 nm to 78 nm respectively and shrinking in nanopore wall thickness from 58 nm to 41 nm. The anticipated after effects of the following conceivable development of aluminum nanopore size and wall thickness are processed by applying factual investigation (statistical analysis) and building the principles of fuzzy inference system. The manual and test results are compared, analyzed and deciphered to exhibit the competence of the proposed technique.
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Bannigidad, P., Udoshi, J., Vidyasagar, C.C. (2019). Effect of Time on Aluminium Oxide FESEM Nanopore Images Using Fuzzy Inference System. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_36
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