搜索资源列表
OpenCV_Canny_test
- 用Visual C++ 调用OpenCV 实现Canny边缘检测-Canny edge detection opencv implementation
main
- 此代码在opencv下对各种滤波和边缘算法的比较与实现，同时滤波算法还加入了自己实现的东南大学一位博士生的自动检测噪声（高斯和脉冲）并处理的算法。-This code in opencv under various filtering and edge algorithm comparison, at the same time filtering algorithm also joined Southeast University, a doctoral student realize his
AI_Border-Detection_DIY
- c++ opencv 自己实现的边缘检测程序-c++ opencv
Corners
- 首先，请检查/样品在你的OpenCV的分布/ C/ squares.c的。这个例子提供了一个方形的检测，如何检测角落类似的功能，它应该是一个不错的开始。然后，一起来看看在OpenCV的功能，导向功能，如cvCornerHarris（）和cvGoodFeaturesToTrack（）。 上述方法可以返回许多角落类似的功能 - 最不会“真正的角落”你正在寻找。在我的应用程序，我只好检测，旋转或倾斜的广场（透视）。我的检测流水线包括： 从RGB转换为灰度级（cvCvtColor）
contours
- 在VS2008环境下基于OpenCV画出图片中的轮廓，用到Canny算子边缘检测、形态学变换和轮廓遍历-VS2008 environment based on OpenCV draw the outline of the picture, used Canny operator edge detection, morphological transformation and contour traversal
OPENCVprogram
- OpenCV基本程序 包括边缘检测 直线检测 开闭运算等，比较好，珍藏版。-OpenCV basic procedures including edge detection, line detection opening and closing operation, good, collector s edition.
OpenCV--Canny-Sobel-Laplace-Scharr
- OpenCV 边缘检测 Canny,Sobel,Laplace,Scha-OpenCV baianyuanjiance Canny,Sobel,Laplace,Scharr
reunex
- 边缘检测程序，canny，sobel等结合opencv-Edge detection procedures, canny, sobel and other binding opencv
canny
- python-opencv的canny边缘检测代码(Python-opencv Canny edge detection code)
allstep
- 基于opencv的滤波、反色、边缘检测、形状匹配。(Opencv filtering, edge detection, color and shape matching based on.)
图像处理经典算法及OpenCV程序
- 图像处理经典算法及OpenCV程序（基于opencv的use摄像头视频采集程序、基于opencv的use摄像头视频采集程序、基于opencv的两个摄像头数据采集、能激发你用代码做视频的冲动程序、图像反转（就是把黑的变白，白的变黑）、图像格式的转换、从摄像头或者AVI文件中得到视频流，对视频流进行边缘检测 、采用Canny算子进行边缘检测、角点检测、图像的旋转加缩放（效果很拽，用地球做就像谷歌地球似的）。。。。 ）(Classical algorithm and OpenCV program f
edge_based_matching
- 边缘检测，形状匹配，opencv编写的，opencv3.0以上版本及其第三方库，，，，，，，，，，，(edge_based_matching,the mask width and height must be (approximately) set according to the size)
simulate
- 形状是由图像的轮廓形成的，所以理论上形状识别是通常在边缘或轮廓检测后的步骤。(edge_based_matching The shape is formed by the outline of the image, so theoretically the shape recognition is usually the step after the edge or contour detection)