本文阐述了松弛法算法及其在图象匹配、边缘抽取及遥感图象分类等方面的应用。
In this paper the relaxation algorithms and their applications in image matching, edge extraction and remote sensing imagery classification are described.
该研究在可视化操作平台上，采用松弛复原图像，边缘特征抽取算法，可对任意定位的轮廓零件自动生成数控加工程序。
On the visible operating platform, the image edge of the outline work parts placed any- angle is restarted and its characteristic is abstracted by relaxes recovers algorithm.
针对已抽取海岸边缘特征并二值化的电子海图和已提取海岸边缘特征并缩放至海图比例的实时雷达图像进行匹配。
The paper works with a binary electronic chart which has extracted the characteristics of coastal edge and a binary radar image which has been zoomed out in electronic chart at real-time.
将活动轮廓和光流模型相结合用于运动物体图像的实时跟踪，以抽取物体图像的边缘信息，并以此信息控制摄像机的运动，达到机器人定位、跟踪等目的。
A robotic visual servo control based on active contour is presented, which combines the active contour with the image optical flow for tracking image contours related to the object of interest.
最后，从匹配成功的边缘中抽取匹配控制点并采用一致性检验方法来去除错误匹配点。
Finally the control points are located according to matched contours and consistency checking is employed to remove mismatch control points.
采用抽样技术进行边缘金字塔构造，克服了直接二抽取法的缺点及其理论上的不足。
To overcome the limits of directly simple sampling and lack of basis of theory, a new construction of edge pyramidal structure was proposed based on sampling strategy.
采用抽样技术进行边缘金字塔构造，克服了直接二抽取法的缺点及其理论上的不足。
To overcome the limits of directly simple sampling and lack of basis of theory, a new construction of edge pyramidal structure was proposed based on sampling strategy.
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