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图像分割在医学图像中的研究方法及应用 被引量:18

Study methods and application of image segmentation in medical image
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摘要 图像分割是指将一幅图像分解为若干互不交迭区域的集合,是图像处理与机器视觉的基本问题之一。医学图像分割是图像分割的一个重要应用领域,也是一个经典难题。本文从应用的特定角度,对近年来医学图像分割的新方法或改进算法进行综述,并简要讨论了每类分割方法的特点及应用。 Image segmentation denotes a process which a raw image is partitioned into nonoverlapping regions. The image segmentation problem is treated as a key issue in image processing and machine vision. Medical image segmentation is an important application in the field of image segmentation. In this article, a rather complete survey to the medical image segmentation methods are given, and their characteristics are discussed, especially to the new methods or improvement to the classical methods which was put forward recently.
出处 《中国医学影像技术》 CSCD 北大核心 2005年第10期1627-1630,共4页 Chinese Journal of Medical Imaging Technology
基金 国家自然科学基金项目(30470509)资助。
关键词 图像处理 图像分割 图像模型 Image processing Image segmentation Image model
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