DocumentCode :
3085838
Title :
Enhancing ultrasound images using the recursive p-step unbiased FIR filter
Author :
Morales-Mendoza, Luis J. ; Vazquez-Bautista, R.F. ; Calderon-Ramon, C. ; Martinez-Castillo, Jaime ; Morales-Mendoza, E. ; Shmaliy, Yuriy S.
Author_Institution :
Dept. of Electron. & Commun. Eng., Veracruzana Univ., Poza Rica, Mexico
fYear :
2012
fDate :
26-28 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we present a computational scheme for the implementation of p-step UFIR filter ultrasound image processing. The recursive scheme is focused both signal to noise ratio and root mean-square-error on filter improved performance. In this way, quantitative evaluations are computed to verify the performance carried out by the new recursive computational scheme under metrics. On the other hand, qualitative evaluations are showed for both cases: signals (one dimensional) and images (two dimensional). Finally, this efficient computational algorithm manifests an outstanding signal/image enhancing with strong metric convergence despite the computational complexity.
Keywords :
FIR filters; biomedical ultrasonics; convergence of numerical methods; image enhancement; image segmentation; mean square error methods; medical image processing; computational algorithm; computational complexity; metric convergence; qualitative evaluations; recursive p-step UFIR filter ultrasound image processing; root mean-square-error method; signal-to-noise ratio; ultrasound image enhancement; ultrasound image segmentation; Filtering algorithms; Finite impulse response filter; Noise; Noise measurement; Polynomials; Ultrasonic imaging; Wiener filters; Recursive Scheme; Ultrasound images; Unbiased FIR filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4673-2170-9
Type :
conf
DOI :
10.1109/ICEEE.2012.6421163
Filename :
6421163
Link To Document :
بازگشت