Title :
Ultrasound Image Segmentation Based on the Anisotropic Diffusion Filtering
Author :
Deng, Yu ; Huang, Hua
Author_Institution :
Electr. Eng. & Inf. Coll., Sichuan Univ., Chengdu, China
Abstract :
Clinical application of ultrasonic image is wide. This paper researched the speckle noise suppression and image segmentation. Anisotropic diffusion filter a new filter is used to suppress the speckles. The traditional diffusion coefficient of anisotropic diffusion filer is proposed by Perona and Malik. This paper presented an improved coefficient to adapt the ultrasound image. The result verified the improved coefficients can suppress the speckle noise very effective and retain texture information. After filtering, the ultrasound image segmentation is perfect.
Keywords :
biomedical ultrasonics; filtering theory; image denoising; image segmentation; image texture; medical image processing; anisotropic diffusion filtering; diffusion coefficient; image segmentation; speckle noise suppression; texture; ultrasound imaging; Anisotropic magnetoresistance; Educational institutions; Filtering; Filters; Image analysis; Image segmentation; Nonlinear equations; Smoothing methods; Speckle; Ultrasonic imaging;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516505