eprintid: 1966
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/19/66
datestamp: 2023-11-09 15:50:08
lastmod: 2023-11-09 15:50:08
status_changed: 2023-11-09 15:41:43
type: conference_item
metadata_visibility: show
creators_name: Zain, M.L.B.M.
creators_name: Elamvazuthi, I.
creators_name: Begam, M.
title: Speckle reduction of ultrasound images of bone fracture using wavelets
ispublished: pub
note: cited By 0; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051562724&doi=10.1063%2f1.3592460&partnerID=40&md5=4a8ed68d250aed8300824b512ce9427b
id_number: 10.1063/1.3592460
full_text_status: none
publication: AIP Conference Proceedings
volume: 1337
place_of_pub: Sarawak
pagerange: 166-169
refereed: TRUE
isbn: 9780735408937
issn: 0094243X
citation:   Zain, M.L.B.M. and Elamvazuthi, I. and Begam, M.  (2011) Speckle reduction of ultrasound images of bone fracture using wavelets.  In: UNSPECIFIED.