Citation

Sim, Kok Swee and Ting, Fung Fung and Yeap, Zhi Xuan and Tso, Chih Ping (2018) The performance of adaptive tuning piecewise cubic hermite interpolation model for signal-to-noise ratio estimation. International Journal of Innovative Computing, Information and Control (IJICIC), 14 (5). pp. 1787-1804. ISSN 1349-418X

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Abstract

A technique based on the piecewise cubic Hermite interpolation (PCHI) model was previously applied to calculating the signal-to-noise ratio (SNR) in scanning electron microscope (SEM) images. An algorithm was also used by cascading the tuning technique, named adaptive tuning piecewise cubic Hermite interpolation (ATPCHIP) model. Comparisons were made with the performance of the other methods – adaptive slope nearest neighbourhood (ASNN), linear least square regression (LLSR) and nonlinear least square regression (NLLSR) through Cramer-Rao lower bound (CRLB), t-test, scatter plot and Bland-Altman plot. Using different images, the ATPCHIP single-image model is shown to be much better than other models.

Item Type:	Article
Uncontrolled Keywords:	Image processing, Piecewise cubic Hermite interpolation, Signal-to-noise ratio, Scanning electron microscope images
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	08 Nov 2020 18:11
Last Modified:	08 Nov 2020 18:11
URII:	http://shdl.mmu.edu.my/id/eprint/7270

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