医学图像处理中有关图像分割的新技术

The progression of image segmentation——the chief element of image processing

图像分割是图像处理中最基本和最主要的技术。本文简要介绍了医学图像分割的常用分割方法,主要包括阈值分割、神经网络分割、模糊分割、遗传算法、统计方法和基于特定模型等方法的图像分割,并对其近年来的进展和应用进行了综述。

Image segmentation is the most elementary and important technique in image processing. In this paper, the general methods of medical image segmentation, mainly including threshold segmentation, neural net work, fuzzy segmentation, genetic algorithm, statistic method, and special model are sketched, and a review of the progression and application of medical image segmentation techniques is given.