relation: https://khub.utp.edu.my/scholars/1966/
title: Speckle reduction of ultrasound images of bone fracture using wavelets
creator: Zain, M.L.B.M.
creator: Elamvazuthi, I.
creator: Begam, M.
description: Ultrasound imaging or ultrasound scanning has become a very important diagnostic tool in many areas of medicine. However, due to inherent speckle noises in the ultrasound images which make the images unclear for fast interpretation, the use of ultrasound for bone fracture detection is limited. Therefore, a study was carried out to reduce speckle using filtering functions such as Biorthogonal, Daubechies, Haar and Symlets in the wavelet domain. This paper discusses the level of improvement obtained through these wavelet functions. It was ascertained by peak signal-to-noise ratio (PSNR). The results show that amongst the wavelets, the Daubechies yielded better performance. © 2011 American Institute of Physics.
date: 2011
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Zain, M.L.B.M. and Elamvazuthi, I. and Begam, M.  (2011) Speckle reduction of ultrasound images of bone fracture using wavelets.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051562724&doi=10.1063%2f1.3592460&partnerID=40&md5=4a8ed68d250aed8300824b512ce9427b
relation: 10.1063/1.3592460
identifier: 10.1063/1.3592460