Comparison of Midpoint Filter and Harmonic Mean Filter on Ultrasonography Image Reduction

Andika, Deni (2020) Comparison of Midpoint Filter and Harmonic Mean Filter on Ultrasonography Image Reduction. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

USG is one way to diagnose diseases in the body with a non-invasive method. The USG images that are interfered by the bad quality or noise can also distract the medical analysis. Noise can be occurred by the decrease of resolution or contras, also the damage of the used devices. The problem above can be solved by image filtering. It is to correct the image that is “broke” so the analysis will be easier. Filtering that is used in this research are Midpoint Filter and Harmonic Filter. The paramater used to measure the accuracy of filtering are MSE and PSNR. The final result is the measurement of the accuracy level of MSE and PSNR, and the graphic to see the exact number of each MSE and PSNR USG tested images.

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	Ms Agustin Hesti Pertiwi
Date Deposited:	23 Jun 2020 04:33
Last Modified:	23 Sep 2020 02:24
URI:	http://repository.unika.ac.id/id/eprint/21390

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