Efficient analysis of DWT thresholding algorithm for medical image de-noising

Ahmad, Afandi and Alipal, Janifal and Ja'afar, Noor Huda and Amira, Abbes (2012) Efficient analysis of DWT thresholding algorithm for medical image de-noising. In: 2012 IEEE EMBS International Conference on Biomedical Engineering and Sciences, 17-19 December 2012, Langkawi, Kedah.

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Abstract

This study proposes an efficient analysis based on objective and subjective test for filtering methods of the adaptive non-linear thresholding domain in discrete wavelet transform (DWT). The ultrasound images have been captured from three region-of-interests (ROIs), which are stomach, neck, and chest. These images have been converted into grayscale and three types of noises have been added, including Speckle, Gaussians, and Salt&Pepper. The objective test using Scilab 5 exhibits the performance of thresholding design on de-noising process in terms of signal-to-noise ratio (SNR). The visual effect has been measured using an inspection of image experts for de-noised image then yields the data of subjective test in terms of mean-opinion-score (MOS). In brief, this project succeeds to explore a new thresholding method with better performance in both SNR and visual effect named as hybrid estimated threshold (HET). It reveals that HET is the best filtering method to remove the Speckle, Gaussians, and Salt&Pepper noise.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:discrete wavelet transform; wavelet thresholding; medical image de-noising; hybrid estimated threshold
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-5865 Telecommunication. Telegraph.
Divisions:Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
ID Code:6129
Deposited By:Normajihan Abd. Rahman
Deposited On:11 Feb 2015 16:04
Last Modified:11 Feb 2015 16:04

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