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Vol.12, No.2, May 2023. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Small but Diverse SEM Image Dataset: Impact of Image Augmentation on the Performance of AlexNet
Khairul Khaizi Mohd Shariff, Noor Ezan Abdullah, Ali Abd Al-Misreb, Aisyah Hartini Jahidin, Megat Syahirul Amin Megat Ali, Ahmad Ihsan Mohd Yassin
© 2023 Megat Syahirul Amin Megat Ali, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 12, Issue 2, Pages 883-889, ISSN 2217-8309, DOI: 10.18421/TEM122-34, May 2023.
Received: 04 December 2022. Revised: 15 March 2023.
Abstract:
To this date, scanning electron microscope has produced among the most complex and diverse images at nanoscale resolution. The highly magnified images of backscattered electrons reflected from the surface of samples are non-uniformed, even for the same class of images. The study investigates the impact of having a small but diverse dataset on the performance of AlexNet. A total of 160 samples from EUDAT Collaborative Database Infrastructure is used for the study. Compared to the use of new non-augmented samples to increase the size of dataset, image augmentation has been significantly improved classification performance and generalization ability of the AlexNet.
Keywords –Scanning electron microscope, small dataset, image augmentation, AlexNet, generalization performance. |
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