TY  - CONF
SN  - 0094243X
Y1  - 2011///
EP  - 169
VL  - 1337
A1  - Zain, M.L.B.M.
A1  - Elamvazuthi, I.
A1  - Begam, M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051562724&doi=10.1063%2f1.3592460&partnerID=40&md5=4a8ed68d250aed8300824b512ce9427b
AV  - none
CY  - Sarawak
TI  - Speckle reduction of ultrasound images of bone fracture using wavelets
ID  - scholars1966
SP  - 166
N1  - cited By 0; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010
N2  - 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.
ER  -