Aiming at the issue, this paper proposes approach for tumor image segmentation based on active contour, which can provide more effect and accuracy results for diagnosis and treatment of tumor.
本文正是基于这一问题，提出将活动轮廓模型用于肿瘤图像的分割，以便为肿瘤的诊断和治疗提供更为准确有效的依据。
The geodesic active contour model has been wide used in image segmentation for its computational stability.
几何活动轮廓模型以其计算稳定等优点，被广泛用于图像分割。
Parametric active contour model incorporating regions information was studied for image segmentation.
对于参数活动轮廓模型，研究区域信息对图像分割的影响。
This paper has deep ly researched image segmentation. Aiming at the color image with complicated background, a novel method of close contour line extraction is presented.
该文针对复杂背景的彩色图像，提出并实现了一种图像封闭轮廓线提取的方法。
Through ct image processing, segmentation, open operation, contour sampling and extraction, the rapid prototyping data interface modal file which is presented as CLI format, can be obtained.
通过CT图像滤波、分割、开操作等图像处理方法以及轮廓提取和采样等建模方法，得到快速成形数据接口cli文件，进而进行原型的快速成形制造。
The automatic segmentation of liver ct images and extraction of liver contour can help us to improve the speed and accuracy of clinic diagnosis.
对肝ct序列图像进行自动分割、提取肝脏边界，有利于提高临床诊断的速度和准确性。
After analyzing snake and geometric active contour model, a minimum variation snake model was proposed and successfully applied to weak edge medical image segmentation.
我们在分析参数活动轮廓和几何活动轮廓模型的基础上，提出最小方差参数活动轮廓模型，并成功应用于医学图像自动分割。
In this paper, a new face segmentation algorithm is put forward to deal with the uncertainty of face location and the discontinuity of face contour.
针对复杂背景下人脸位置的不确定性和人脸轮廓边缘点的不连续性，本文提出一种新的人脸分割算法，能够在复杂背景下将人脸快速分割出来。
Image segmentation is a process of separating the target contour after marking the objects of the background according to the prior knowledge.
图像分割就是根据目标和背景的先验知识对图像中的目标背景进行标记，然后将要识别的目标从背景中分离出来的一个过程。
Geodesic active contour is a useful image segmentation method, but it may fail to segment the objects disturbed by complex noises.
几何主动轮廓线模型是一种有效的图像分割方法。但对于被噪声严重干扰的目标依然很难准确分割。
Multiple-objects contour extraction is an important area in image segmentation.
多目标轮廓提取是图像分割的重要研究内容。
We propose a contour map segmentation method for laser scanning confocal microscopic (LSCM) biomedical images.
我们提出了等高地图分割法用于激光共焦显微生物医学图像分割。
Aiming at the task of the organ modeling, this thesis focuses on the techniques of organ contour-detecting, segmentation and modeling based on medical image.
本文针对人体器官重建这一研究课题，对基于医学影像的器官轮廓检测、分割和模型重建等技术进行了深入的研究。
First, on the basis of image segmentation by using the watershed transformation method, the contour edges were detected according to the boundaries of the segmented regions.
首先，由使用分水岭变换法的图像分割的基础上，检测到的轮廓的边缘，根据分割区域的边界的。
The image segmentation method based on level set active contour model is widely concerned by domestic and foreign scholars for its superior performance, flexible structure, and diverse forms.
基于水平集活动轮廓模型的图像分割方法凭借其优越的性能、灵活的结构、多样的形式被国内外学者广泛关注。
We developed an automatic segmentation method of intact leaves based on the geometric active contour model according to the characteristics of color leaf images.
针对彩色苗木叶片图像的特点研究了利用几何活动轮廓模型进行完整叶片的自动分割的方法。
In the vicinity of object boundary, Gaussian potential force drives the contour towards boundary and high - level segmentation is implemented.
当轮廓线运动到目标边界附近时，在高斯势力作用下继续变形，完成图像高层分割。
The original gray level image was changed into the macroscopical drawing information by pre-processing, threshold selection, image bivalency, edge detection and contour extraction and segmentation.
对原始数字图像实施预处理、二值化、轮廓提取及细化等处理后，将图像信息转变成宏观图形信息。
Level set method can be used to make segmentation the structure of the brain by identifying the external cerebral boundary contour.
水平集方法通过识别脑组织外部边界轮廓实现脑组织结构的分割。
This paper proposes a new region-based active contour for existing images segmentation model to light-sensitive.
针对现有图像分割模型对光照敏感，提出一种新的基于区域的主动轮廓线模型。
Combined with the active contour image segmentation method, this model can be applied to texture segmentation.
再利用基于活动围道的图像分割算法对该子图像进行分割，可以获得良好的纹理图像分割结果。
The recursively increasing threshold method is first proposed. Then the method of contour integration region labeling and the design of intensity homogeneity segmentation criterion are presented.
介绍了围线积分法区域标号和灰度均匀度分割准则的设计。
Introducing the traditional region growing method into a contour approximating method, a new segmentation algorithm based on subregion similarity was presented.
将传统的区域生长算法思想融入到一种轮廓线逼近方法中。
Introducing the traditional region growing method into a contour approximating method, a new segmentation algorithm based on subregion similarity was presented.
将传统的区域生长算法思想融入到一种轮廓线逼近方法中。
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