A combined approach to medical image segmentation using anisotropic diffusion and wavelet packet decomposition
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.
anisotropic diffusion wavelet packet decomposition edge detection noise removal
Zu Kun Xiong Haiyun Li
School of Biomedical Engineering Capital Medical University CCUM Beijing, China
国际会议
上海
英文
2480-2483
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）