搜索资源列表
Canny
- 在Visual Studio中嵌套qt再用opencv库中的canny算子实现图像边缘检测-In Visual Studio nested qt then using opencv library canny operator to achieve image edge detection
bilateralFilter
- 双边滤波的快速实现,基于C++和Opencv，速度非常快，是很实用的保边缘滤波器-The rapid implementation of bilateral filtering, based on C++ and Opencv, very fast, very useful edge filter
perimeter-calculation
- 在opencv环境中对图像边缘进行提取，并对图像周长进行计算-Extracting an image edge opencv environment, and Zhou Chang the image is calculated
Priwit--picture
- 在OPENCV中利用Priwit 算法进行图像边缘提取操作-Priwit algorithm using OPENCV edge extraction operation in the image
canny
- 基于vc ++ 6.0和openCV图像边缘提取canny算法-Based on vc++ 6.0 & openCV image edge extraction canny algorithm
edge
- 基于opencv的图像边缘检测程序，非常好用，值得借鉴-Based on opencv image edge detection procedures, very easy to use, worth learning
canny
- 实现图像的边缘检测，环境vs2013 或者2010 都可以。opencv2.4.9-To achieve the edge of the image detection, the environment can be 2020 or 2010. Opencv version 2.4.9
pictureCanny
- 用OpenCV进行边缘检测，载入图像，转换成灰度图，再对图像模糊降噪，然后边缘检测-Edge detection using OpenCV, loading images, converted to grayscale, and then blur the image denoising, and then edge detection
lane_detection
- 基于VS+opencv,实现实时车道线检测。首先通过边缘检测，再运用霍夫变换进行直线检测。(VS+opencv.Real time lane detection)
SIFT拼接练习
- 图像拼接，使用了opencv里面的函数，对边缘进行了处理，效果较好(Image stitching, the use of OpenCV inside the function, the edge of the treatment, the effect is better)
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)
fruit-recognition-master
- 运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ，能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.)
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry
车牌识别
- python+opencv实现车牌识别，通过canny算子边缘检测+颜色识别提取车牌区域(License plate recognition based on Python + opencv)