TY  - JOUR
AV  - none
N1  - cited By 39
TI  - Despeckling of ultrasound images of bone fracture using multiple filtering algorithms
SP  - 152
SN  - 08957177
EP  - 168
N2  - Ultrasound images are popularly known to contain speckle noise that degrades the quality of the images for good and fast interpretation in many areas of medicine, especially for bone fracture detection. This necessitates the need for robust despeckling techniques for clinical practice. Therefore, a study was carried out to reduce speckle using filtering algorithms such as Wiener, Average, Median, Anisotropic Diffusion and Wavelets. This paper discusses the level of improvement obtained through these filtering algorithms using the peak signal-to-noise ratio (PSNR) as a measurement tool. The results of our work presented in this paper suggest that the combination of Daubechies-Wiener which we call as a hybrid technique with Anisotropic Diffusion, gave the best performance, which is a new contribution in this field. This despeckling algorithm can be further developed and evaluated at a larger scale. © 2011 Elsevier Ltd.
IS  - 1-2
ID  - scholars4065
KW  - Anisotropic Diffusion; Average; Median; PSNR; Ultrasound imaging; Wavelet; Wiener
KW  -  Optical anisotropy; Speckle; Ultrasonic imaging; Ultrasonics
KW  -  Signal filtering and prediction
Y1  - 2013///
A1  - Elamvazuthi, I.
A1  - Muhd Zain, M.L.B.
A1  - Begam, K.M.
JF  - Mathematical and Computer Modelling
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866181811&doi=10.1016%2fj.mcm.2011.07.021&partnerID=40&md5=d94afc1f875d1e0b48604235e70c8887
VL  - 57
ER  -