Aluminium Oxide (Al2O3) Nanopore Image Analysis Using Digital Image Processing Techniques

Automated microscopic image analysis serves as an efficient tool in biological studies and modern material science for qualitative analysis. The aim of current approach is to engineer an automated tool to find the effect of time on nanopore structures fabricated due to high purity electrochemical anodization of Al
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O
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films in digital microscopic FESEM nanopore images. The geometrical and statistical features are used to measure the variance of nanopore size depending on the anodization properties; namely, concentration (%), time (min), temperature (°C) and voltage (V). The observations depict that the nanopore shape and size is enhanced with escalating anodization time (min) with constant concentration (%), temperature (°C) and voltage (V). It is also been revealed that, the rise in anodization time results to decline in wall thickness from 58-41nm and augment in nanopore diameter size and porosity from 32-78 nm and 0.234 to 2.034, respectively. The proposed results are interpreted and analyzed in comparison with manual results and the efficacy of the proposed method is witnessed.