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Comparative Evaluation of Ultrasound Kidney Image Enhancement Techniques

by Wan Mahani Hafizah, Eko Supriyanto
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 21 - Number 7
Year of Publication: 2011
Authors: Wan Mahani Hafizah, Eko Supriyanto
10.5120/2524-3432

Wan Mahani Hafizah, Eko Supriyanto . Comparative Evaluation of Ultrasound Kidney Image Enhancement Techniques. International Journal of Computer Applications. 21, 7 ( May 2011), 15-19. DOI=10.5120/2524-3432

@article{ 10.5120/2524-3432,
author = { Wan Mahani Hafizah, Eko Supriyanto },
title = { Comparative Evaluation of Ultrasound Kidney Image Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 21 },
number = { 7 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume21/number7/2524-3432/ },
doi = { 10.5120/2524-3432 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:52.948523+05:30
%A Wan Mahani Hafizah
%A Eko Supriyanto
%T Comparative Evaluation of Ultrasound Kidney Image Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 21
%N 7
%P 15-19
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Evaluation have been done to different enhancement techniques applied to ultrasound kidney images to see which enhancement techniques is the most suitable techniques that can be applied to the kidney images before segmenting the edge of the kidney. Five common enhancement techniques have been used including the spatial domain filtering, frequency domain filtering, histogram processing, morphological filtering and wavelet filtering. The techniques applied were assessed by few methods which are the observer sensitivity, measuring the image quality by calculating the MSE and PSNR of the image and applying one of the segmentation techniques to the output images. In conclusion, for ultrasound kidney image, if the whole image were taken into consideration (by measuring MSE and PSNR), morphological filtering seems to be the best option in enhancing the image. If the evaluator is concerning more on the kidney edges, enhancement techniques that should be taken into consideration are median filtering and histogram equalization.

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Index Terms

Computer Science
Information Sciences

Keywords

Comparative Evaluation Ultrasound Kidney Image MSE and PSNR

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