Title :
A compound anisotropic diffusion for ultrasonic image denoising and edge enhancement
Author :
Shujun Fu ; Ruan, Qiuqi ; Shujun Fu ; Wang, Wenqia ; Li, Yu
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., China
Abstract :
Utilizing the echoic intension and the distribution from different organs and local details of the human body, ultrasonic images can catch important medical pathological changes, which unfortunately may be affected by ultrasonic speckle noise. An ultrasonic image denoising and edge enhancement scheme is put forth, which compounds two terms: an anisotropic diffusion and an edge enhancement, coupled by an iterative split implementation. To preserve image features, the anisotropic diffusion is governed by a local coordinate transformation, the first and second normal derivatives of the image, and the edge enhancement is done by a hyperbolic tangent function. Experiments on real ultrasonic images indicate effective preservation of edges, local details and ultrasonic echoic bright strips on denoising by our scheme.
Keywords :
biomedical imaging; edge detection; feature extraction; hyperbolic equations; image enhancement; iterative methods; medical image processing; speckle; ultrasonic imaging; compound anisotropic diffusion; echoic intension; edge enhancement; hyperbolic tangent function; image features; iterative split implementation; local coordinate transformation; medical pathological changes; organs; ultrasonic image denoising; ultrasonic images; ultrasonic speckle noise; Anisotropic magnetoresistance; Biomedical imaging; Electronic mail; Humans; Image denoising; Image quality; Noise reduction; Rayleigh scattering; Speckle; Ultrasonic imaging;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465203