Citation

Sim, K. S. and Kiani, M. A. and Nia, M. E. and Tso, C. P. (2014) Signal-to-noise ratio estimation on SEM images using cubic spline interpolation with Savitzky–Golay smoothing. Journal of Microscopy, 253 (1). pp. 1-11.

Text Signal-to-noise ratio estimation on SEM images using cubic spline interpolation with Savitzky-Golay smoothing.pdf Restricted to Repository staff only Download (987kB)

Abstract

A new technique based on cubic spline interpolation with Savitzky–Golay noise reduction filtering is designed to estimate signal-to-noise ratio of scanning electron microscopy (SEM) images. This approach is found to present better result when compared with two existing techniques: nearest neighbourhood and first-order interpolation. When applied to evaluate the quality of SEM images, noise can be eliminated efficiently with optimal choice of scan rate from real-time SEM images, without generating corruption or increasing scanning time.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	10 Mar 2014 09:16
Last Modified:	10 Mar 2014 09:16
URII:	http://shdl.mmu.edu.my/id/eprint/5345

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