Title: A 3-D robust detail preserving anisotropic diffusion for speckle reduction in 3-D cattle follicle ultrasound image

Authors: Jun Liu; Hongwei Jiang; Xiaoming Liu

Addresses: School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China ' School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China ' School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China

Abstract: In this paper, an anisotropic diffusion filtering algorithm is proposed by modifying the diffusion coefficient and the instantaneous coefficient of variation (ICOV). This algorithm can reduce the speckle in the ultrasound image effectively and well preserve an image's edges and details compared with the 3-D speckle reducing anisotropic diffusion filtering (3DSRAD). We applied this algorithm on a real 3-D ultrasound image and the result shows that the modified algorithm is less sensitive to the number of iterations than conventional 3D speckle, thus reducing anisotropic diffusion filtering.

Keywords: anisotropic diffusion filtering; speckle reduction; 3-D ultrasound images; embedded systems; veterinary medicine; cattle follicles; follicle changes; image processing.

DOI: 10.1504/IJES.2015.069989

International Journal of Embedded Systems, 2015 Vol.7 No.2, pp.156 - 161

Received: 24 Apr 2014
Accepted: 15 May 2014
Published online: 22 Jun 2015 *

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