Edge detection and tracking algorithm for image are used to process and analyze the acquired digital image of arthrosis.
采用图像边缘检测和图像跟踪算法对获得的关节数字图像进行了图像处理和分析。
The descriptive method of local contour sequence (LCS) is introduced and improved. A method of matching and tracking based on the characteristic of image edge is presented.
介绍了目标轮廓lcs描述，并对其进行改进，建立了基于目标轮廓的特征匹配跟踪方法。
A practical method of correlation tracking based on image edge character is presented.
介绍一种利用图像边沿特征实现图像相关跟踪的方法。
In order to detect the interested boundary fast and correctly, an boundary point tracking algorithm was proposed to detect the specifical edge of the image.
为了快速准确的检测特定边界，采用边界点跟踪算法检测特定轮廓边界点。
On the basis of classical edge operator theory and combined with edge tracking and curve fitting theory we developed an algorithm which can deal with the edge of ordinary quality image better.
在经典算子的基础上，结合边界跟踪和曲线拟合的理论，得到了能较好处理一般质量图像边界的算法。
Second, extract the edge of the object image and boundary tracking to get the 2D line drawing and extract the topology information and geometry information of them.
其次对物体真实图像作轮廓提取和边界跟踪，得到二维图像的线架图，同时提取出它的拓扑结构信息和几何信息；
Second, extract the edge of the object image and boundary tracking to get the 2D line drawing and extract the topology information and geometry information of them.
其次对物体真实图像作轮廓提取和边界跟踪，得到二维图像的线架图，同时提取出它的拓扑结构信息和几何信息；
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