搜索资源列表
harrisCorner__2006528
- 用openCV编写的角点检测程序，其中第一个角点检测是从一缓冲区读入到图像，转换成IplImage后检测出角点；第二个角点检测函数是检测两副图像的角点，以便于进行匹配等运算操作。-used to prepare the corner detection procedures, the first one corner detection is a buffer to read images into IplImage after detect corner; the second corner
基于openCV的药品检测程序，运用图像处理和模板匹配技术，实现药品质量检测
- 基于openCV的药品检测程序，运用图像处理和模板匹配技术，实现药品质量检测
OpenCV-tuxiangpeizhu
- 实现相位相关图像配准,编译产生库文件，用于openCV平台。实现了相位相关图像的快速搜索和两幅图像之间的匹配-Implementation phase correlation image registration, create library files compiled for openCV platform. Achieve the rapid phase correlation image search and matching between two images
DP_pipei
- 用于立体视觉匹配的动态规划（dynamic programming）算法，基于英特尔opencv图像库实现。-Visual match for the three-dimensional dynamic programming (dynamic programming) algorithm, based on the Intel opencv image library.
sift-1.1.1_20090108_win
- 利用OpenCV实现的图像Shift匹配，对初学者有很大帮助。-Shift the images using OpenCV to achieve matching, very helpful for beginners.
UStereoos
- 使用SSD（sum squared differences）算算法进行双摄像机图像匹配点计算，基于OpenCv的C++代码实现 -Use of the SSD (sum squared differences) numerical algorithm for the dual-camera image matching point calculation based the OpenCv of the C++ code
uharrrisCornes
- 用openCV开发的角点检测程序源码，其中第一个角点检测是从一缓冲区读入到图像，转换成IplImaage后检测出角点；第二个角点检测函数是检测两副图像的角点，以便于进行匹配等运算操作。 可直接使用。 -With the the corner detection openCV development program source code, which after the first corner detection is read from the buffer into the image
oOpenCVsuurfp
- opencv是图像处理中常用到的工具箱，本资料为基于此工具箱箱的图像处理匹配算法SURF的实现代码。，已通过测试。 -opencv is commonly used in image processing toolbox, this information is based on the realization of this toolbox box match the image processing algorithm SURF code. , Has been tested.
OMatchhp
- 利用OpenCV中的模板匹配来匹配配模板和图片，找出图片中含有的模板图像 -Template matching in OpenCV to match with the template and pictures to identify the picture contains the template image
FPicturesMatca
- 快速的图像模板匹配代码，很辛苦找到到的，属于Opencv的，共享给大家了 -Fast image template matching code, very hard to find, belongs Opencv shared with everyone
NCC_SSDA_Match
- NCC和SSDA算法的图像匹配实现，图片的读取用opencv实现，算法是纯C++代码。-The NCC and SSDA image matching algorithm to achieve the picture read with opencv algorithm pure C++ code.
opencv-sift
- 图像匹配，可以实现目标图像的匹配，匹配出最相似的训练图片。-Image matching, the matching can achieve the target image, matching the most similar training images.
MyMFC_v3
- OpenCV 模板匹配代码，支持自定义模板设置，对彩色、黑白图像均有作用-OpenCV template matching code, support for custom template settings for color, black and white images have a role
PiPei
- 图像匹配核心文件，下载下来，导入工程直接可以使用，但前提是安装opencv-Image matching core files, downloaded, can be used directly into the project, but the premise is to install opencv
opencv-temp
- opencv 实现模板匹配，方法对图像、视频都可用，简单、易懂！-Opencv achieve template matching procedures, simple, easy to use, can realize the matching of image, video in!
tuxiangpipei
- 这是一个图像匹配c++代码及其资料，使用opencv，对两幅图像进行匹配-This is an image matching c++ code and its data, using opencv, two images match
ORB
- 该算法基于opencv库，能够实现图像ORB角点检测，并实现图像匹配(ORB image key point detection algorithm, fast and efficient implementation of image feature point detection and matching)
Source code
- 在opencv上实现双目测距主要步骤是： 1.双目校正和标定，获得摄像头的参数矩阵： 进行标定得出俩摄像头的参数矩阵 cvStereoRectify 执行双目校正 initUndistortRectifyMap 分别生成两个图像校正所需的像素映射矩阵 cvremap 分别对两个图像进行校正 2.立体匹配，获得视差图： stereoBM生成视差图 预处理： 图像归一化，减少亮度差别，增强纹理 匹配过程： 滑动sad窗口，沿着水平线进行匹配搜索，由于校正后左右图片平行，左图
WeChat_jump
- 电脑模拟按键实现微信跳一跳自动跳跃。首先就是在上传的autojump.png图片上进行模板匹配，匹配出小人，并计算小人的坐标；如上图所示，框出来的用红色箭头所指即为小人的坐标！ 然后就是通过Canny()函数进行图像的边缘检测，这里使用的阈值为5，10基本可以检测出所有边缘信息(Computer simulation keys to achieve WeChat jump one jump automatically. First of all, template matching is per
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)