Citation

Chan, Wai Ti and Sim, Kok Swee and Abas, Fazly Salleh (2018) Pixel Filtering and Reallocation with Histograms of Second-Order Derivatives of Pixel Values for Electron Microscope Images. International Journal of Innovative Computing, Information and Control, 14 (3). pp. 915-928. ISSN 1349-4198

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Abstract

The proposed method uses second-order derivatives to derive more information from the gray values of the pixels in a scanning electron microscope image. It represents this information as a histogram of second-order values, which expresses the variation in pixel values caused by image details and noise. The method uses the histogram as the basis for the targeting of pixels for filtering and reallocation to restore the image. The method controls the number of target pixels to minimize blurring of edges by imposing a Laplace curve on the histogram and using it together with other equations to select pixels based on the differences between their second-order derivatives and those of their neighbours

Item Type:	Article
Uncontrolled Keywords:	Laplacian operator, Histograms, Pixel reallocation, Noise filter, SEM images, Second-order derivatives, Laplace curve
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Nov 2020 16:22
Last Modified:	18 Nov 2020 16:22
URII:	http://shdl.mmu.edu.my/id/eprint/7402

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