摘要
医学图像分割是图像分割的一个重要应用领域,它能够自动或半自动描绘出医学图像中的解剖结构和其它感兴趣的区域,从而有助于诊断,所以它在生物医学图像的应用中起着非常重要的作用。文中对近年来图像分割的新方法或改进算法进行综述,重点放在各种方法对于医学图像应用的优点和不足之处上,揭示了各方法的适应范围和应用重点;展望了医学图像的前景和面临的挑战。
Medical image segmentation is an important field in application of image segmentation, which can delineate anatomic structures or other interested regions automatically or semi-automatically for helping to the diagnosis, so it plays a crucial role in many medical, imaging applications. This paper presents the new methods or irnprovement to the classical rnethods that are put forward recently; it focuses on the advantages and disadvantages of each method, promulgates the applicable range and key point of application, prospects the foreground and the challenge faced of medical inaage segmentation.
出处
《山西电子技术》
2006年第2期38-40,共3页
Shanxi Electronic Technology
关键词
图像分割
医学成像
数学形态学
模式识别
image segmentation
medical imaging
mathematics morphologic
pattern recognition