1) edge detection and label
边缘检测与标记
1.
On the basis of this,at first,extract the edge contour of gear by taking advantage of improved self-adaptation median filter and threshold segmentation and edge detection and label,then it has carried on actual measurement to straight-cut gear with keyway by using random Hough transform to get the center of the gear wheel,and analyzed the error of measuring.
介绍了基于机器视觉的齿轮测量系统组成结构,建立了齿轮测量的软件系统框架,提出了齿轮尺寸及其参数的测量算法;在此基础上,首先利用改进的自适应中值滤波、阈值分割、边缘检测与标记提取出齿轮的边缘轮廓,然后利用随机Hough变换获取齿轮的中心后对带键槽的直齿圆柱齿轮进行了实际测量,并对测量误差进行了分析;实验结果表明,通过采用机器视觉的非接触测量方法可以实现对齿轮基本参数的快速、精确的测量,这对推动齿轮测量技术和齿轮工业的进步与发展具有重要意义。
2) edge enhancement and detection application
边缘增强与检测
3) edge detection and segmentation
边缘检测与分割
4) Edge Tag
边缘标记
1.
A new conception based on biological vision principle,called Edge Tag,was introduced to describe the edge structure.
利用多方向Gabor函数从图像梯度强度图中提取边缘结构信息,称之为边缘标记(Edge Tag,ET),通过比较多时相遥感图像中ET的互相关系数实现变化检测。
5) Edge detection
边缘检测
1.
Large-size forging in edge detection based on wavelet transform;
基于小波变换的大型锻件图像边缘检测
2.
Application of edge detection methods based on operators to the analysis of body digital images;
基于算子的人体数字图像边缘检测算法
3.
Pellets image edge detection algorithm based on variable-neighboring wavelet transform;
基于可变邻域的小波变换的球团图像边缘检测算法
6) Edge detect
边缘检测
1.
Sub-pixel edge detect technique based on LOG operator;
基于LOG算子的亚像素边缘检测
2.
Firstly,in this algorithm the edge detect arithmetic operators was used to get the edge image of the image of circuit board,aim at the characteristic of .
该算法首先利用边缘检测算子得到电路板图像的边缘图像,再根据该电路板中定位孔位置固定的特点,利用Hough变换检测电路板定位孔的圆形外边缘的位置,然后以定位孔外边缘的圆心为基础计算出电路板的平移误差和旋转误差并进行矫正。
3.
First, it draws the smooth component and edge character from the image with the algorithm of dyadic wavelet transform multi scale edge detection, and makes them the image feature set that produces the digital signatures.
它首先利用小波变换多尺度边缘检测方法抽取出光滑分量和边缘特征作为生成签名的图像特征集 。
补充资料:边缘
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参考词条