DocumentCode :
2473176
Title :
A 3-D bilateral filter for speckle reduction in 3-D ultrasound images for cattle follicle segmentation
Author :
Tang, Jinshan ; Guo, Shengwen
Author_Institution :
Sch. of Technol., Michigan Technol. Univ., Houghton, MI, USA
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
2485
Lastpage :
2488
Abstract :
In this paper, we investigate the reduction of speckles in 3-D ultrasound images using a 3-D bilateral filter for cattle follicle segmentation and volume estimation. Adaptive 3-D bilateral filter is developed to reduce the speckles in the ultrasound images effectively. We compared the proposed 3-D bilateral filter with the conventional 3-D bilateral filter and 3-D Gaussian filter using both 3-D synthetic speckled images and real ultrasound images. Quantitative analysis verified the effectiveness of the proposed method.
Keywords :
image denoising; image enhancement; image segmentation; ultrasonic imaging; 3D Gaussian filter; 3D synthetic speckled images; 3D ultrasound images; adaptive 3D bilateral filter; cattle follicle segmentation; quantitative analysis; real ultrasound images; ultrasound image speckle reduction; volume estimation; Filtering algorithms; Image edge detection; Imaging; Noise; Speckle; Ultrasonic imaging; Ultrasonic variables measurement; 3-D ultrasound image; Bilateral filter; Nomalized gradient; Volume; cattle follicles; speckles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6378117
Filename :
6378117
Link To Document :
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