医学图像分割，也是医学图像处理和分析的基础与难题。
Also, Medical image segmentation is the foundation and difficulty in image processing and analysis.
该方法较传统算法更精确和稳健，可在医学图像处理和分析中发挥作用。
This method is more accurate than traditional algorithms and robust, and it can play a role in the medical image processing and analysis.
近年来，基于可变模型的图像处理技术在医学图像处理和分析领域得到了广泛应用。
In recent years, image processing technique based on deformable models has been widely used in the field of medical image processing and analysis.
医学图像分割在医学影像分析中正在发挥着日益重要的作用，它是医学图像处理和分析领域的基础性经典难题。
Medical image segmentation has been playing an increasingly important role in medical image analysis; it is a hard-tough problem in medical image processing and analysis.
图像融合是图像分析和处理的基本问题，在医学影像领域有着广泛的应用。
Image fusion is fundamental problem in image analysis and processing, and is used widely in medical imaging.
在医学图像的处理中，目标对象的定位和边缘提取至关重要，它是定量分析和辅助诊断的基础。
Location and edge detection of the target object is crucial in the medical image processing and it is the base of quantitative analysis and aid diagnosis.
准确提取医学图像中目标的边界在图像处理分析和医疗应用领域具有重要意义。
It is significant and meaningful to precisely extract object boundary in medical images in the realm of image processing and analysis, as well as the field of medical application.
医用X光机是医疗、医学科研单位的先进设备，其中的图像处理和控制单元负责对X射线图像进行处理和分析，以便于进行临床诊断。
The image processing and control unit in it is responsible for processing and analyzing the X-ray image to meet the need of clinic diagnosis.
在此基础上，对现有的常用的医学图像处理技术的方法和算法进行分析比较，分析出各种算法的特点、适用范围以及能够发挥最大优势的使用范围。
Analyze and compare the common medical image process techniques and algorithms and find out their respective features, application fields and scopes to make greatest advantage.
图像配准是图像分析和处理的基本问题，其在医学影像分析、遥感遥测、计算机视觉等领域有着广泛的应用。
Image registration is a basic problem during image analysis and image processing. Image registration has been widely applied in the fields of medical image, remote sensing and computer vision.
本文综合应用计算机科学技术、自动控制理论和医学物理诊断技术，研究肢体血流图信号处理和肢体血流图像数据的分析方法。
In this paper, using computer science technology, automation control theory, and medical physic diagnose technology to analysis blood-flow signal and image data.
本文综合应用计算机科学技术、自动控制理论和医学物理诊断技术，研究肢体血流图信号处理和肢体血流图像数据的分析方法。
In this paper, using computer science technology, automation control theory, and medical physic diagnose technology to analysis blood-flow signal and image data.
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