Title :
A Combined Approach to Medical Image Segmentation Using Anisotropic Diffusion and Wavelet Packet Decomposition
Author :
Xiong, Zu Kun ; Li, Haiyun
Author_Institution :
Sch. of Biomed. Eng., Capital Med. Univ., Beijing
Abstract :
In this paper, a new algorithm to extraction of anatomical contour in medical image has been presented, which combining anisotropic diffusion and wavelet packet decomposition. First, we explored a new anisotropic diffusion model combined with median filter, which was used for both image smoothing and noise removal, as well as edge enhancement. Then, a self-adaptable edge detection algorithm based on wavelet packet decomposition was applied to detect edge for image. Finally, Examples are presented to demonstrate the efficiency of the approach on spinal CT/MRI images and the results are encouraging.
Keywords :
biomedical MRI; computerised tomography; image segmentation; medical image processing; wavelet transforms; anatomical contour extraction; anisotropic diffusion; image noise removal; image smoothing; median filter; medical image segmentation; self adaptable edge detection algorithm; spinal CT/MRI images; wavelet packet decomposition; Anisotropic magnetoresistance; Biomedical imaging; Computed tomography; Degradation; Image edge detection; Image segmentation; Nonlinear filters; Smoothing methods; Wavelet analysis; Wavelet packets;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.947
