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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
template_match_video
- 对视频用OpenCV实现模板匹配，效果很好-template matching using OpenCV，the results are good！
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
mubanpipei
- 模板匹配，基于opencv和vc++6.0-Template matching based opencv and vc++6.0 of.
test
- opencv的模板匹配程序，应该不是很难，使用的时候自己看吧-opencv template matching process, should not be difficult to use when it yourself
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
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!
Template-Matching
- 使用opencv给出的函数进行模板匹配，给出一幅图像及目标模板，在图像中找出模板所在区域。-Using the function given by opencv for template matching, the target template is given an image , to identify the template location in the image
Target-template-matching
- 基于OpenCV视觉库的目标模板匹配，在Visual Studio 2010+C-Based on the target template matching vision library OpenCV in Visual Studio 2010
OpenCV-statistic--handcapture
- 基于opencv的利用模板匹配法实现的静态手势识别技术-handcature
MyMFC
- opencv 模板匹配的MFC程序，可以针对黑白、彩色图片进行设置模版，检索图片-base opencv image model found applicaiton
模板匹配实例
- 模板匹配简单实例 可用于新手测试 与示范 用opencv实现(A simple template matching example can be used for the novice test and demonstration opencv implementation)
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
temp
- 用opencv中的matchTemplate函数实现基于形状的模板匹配(Using the matchTemplate function in OpenCV to implement shape based template matching)