摘要
本文针对医学数字图像数据量大和噪声情况复杂的特点,结合多尺度分析理论,通过多小波图像分解、能量计算、分水岭变换和区域融合等步骤,克服了分水岭变换严重的过分割问题,实现了有意义的区域分割。
This paper presented M-band wavelet-based watershed image segmentation method for medical digital image. The method was based on a multiresolution application of a M-band wavelet and watershed transformation, followed by a wavelet coefficient based energy computation and region merging procedure.The results showed that the method was useful for the reduction of over-segmentation and can be applied to the segmentation of digital images.
出处
《中国医学物理学杂志》
CSCD
2007年第2期99-101,共3页
Chinese Journal of Medical Physics
关键词
多小波变换
分水岭变换
边缘检测
M-band wavelets transform
watershed transform
edge detect
