1) ratio edge detection (ROA)
比率边缘检测(ROA)
2) edge detection probability
边缘检测概率
3) 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
4) 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 。
5) edge extraction
边缘检测
1.
Median noise filtering algorithm was adopted,and sobel gradient operator was perfectly applied in the image edge extraction with the whole process,depending on revising the coefficient K.
将图像检测技术应用于零件微小间隙的测量,采用中值滤波算法对图像进行去噪预处理,将Sobel算子应用于基于梯度算法的图像边缘检测,并用修正实测标定系数K的方法提高实测精度。
2.
Morphology is used for edge extraction of binary image.
在此基础上,通过综合灰度图像像素在每个比特位上的边缘检测结果,提出了采用二值形态学提取灰度图像边缘的方法。
3.
Combining edge extraction methods and a circular template,this paper proposes a new method for detecting corners of text in spam images.
算法首先利用彩色边缘检测算子和阈值分割方法获取文字图像的边缘,然后采用圆形模板提取文字的角点信息。
6) edge detecting
边缘检测
1.
Application of wavelet multi-scale transformation in the image-edge detecting;
小波变换的多尺度方法在边缘检测中的应用
2.
And S3C2410 uses binarization,edge detecting and other image process techniques to get data of spectacles frame edge and works out .
磨边机的镜框采集处理系统使用CMOS图像传感器对眼镜框进行采样,再通过OV511图像传感器通过USB接口芯片传送到中心处理器S3C2410中,采样图像在S3C2410中经过数字图像二值化和边缘检测等处理,获得镜框边缘信息并求出其它镜框参数以便在其它加工环节上使用。
3.
By making the best use of the advantages of ZOM edge detecting method to deal with the noise and providing the positional and directional information of the edge points,the method proposed extracts the thought of curve recognition in K-RANSAC method.
提出一种改进的椭圆检测方法用于水下目标的自主探测和识别,充分利用了ZOM边缘检测算法的抗噪声能力强,并能够同时提供边缘点的位置和方向信息的优点。
补充资料：比率
比值。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条