搜索资源列表
opencv程序源代码
- opencv最基本的入门编程,图像处理最基本操作(Opencv basic introductory programming, the most basic operation of image processing)
1图像叠加与混合
- 利用opencv实现图像叠加与混合,可直接运行(Opencv image superposition and mixing)
3图像滤波
- 利用opencv实现图像滤波,可直接运行(Opencv realization of image filtering)
4图像边缘检测
- 利用opencv实现图像边缘检测,可直接运行(Image edge detection by opencv)
6图像分割
- 利用opencv实现图像分割,可直接运行(Opencv realization of image segmentation)
5图像简单特征检测
- 利用opencv实现图像简单特征检测,可直接运行(Opencv realization of image feature detection)
学习OpenCV(中文版)以及随书源码
- 学习OpenCV(中文版)以及随书源码,对于要学习图像处理的同学比较有用(Learning OpenCV (Chinese version) and the source code are useful for students who want to learn image processing.)
opencv
- opencv随书源码,图像处理,图像处理:cvSobel,cvCanny等 结构分析:ContourArea等 运动分析与目标跟踪:cvMeanShift等 模式识别:CvHaarFeature 摄像头定标与三维重建:cvCalibrateCamer2(Opencv with the book source, image processing)
SURF探测器拼接两张图像以创建全景的openCV实现
- 基于SURF的图像拼接,全景图像筛选特征点,进行匹配刷选转换(Image mosaic based on SURF panoramic image filtering feature points matching selection switch)
用OPENCV提取ROI
- 用opencv分割图像,可能对特定的图像管用,可以适当修改参数,达到所需要的效果(ROI segment:Using OpenCV to segment images, it can be used for specific image tubes, and can modify parameters appropriately to achieve the desired results.)
opencv中Bayer 图像到RGB图像装换的问题
- opencv中Bayer 图像到RGB图像转换的问题(The problem of changing Bayer image to RGB image in opencv)
图像处理
- 此文件包含本人学习OpenCV基础的所有练习,适合OpenCV初学者入门。(This file contains all the exercises that I learn from OpenCV, which is suitable for beginners in OpenCV.)
图像修复
- 获取一张影像,利用掩膜对图像进行修复操作。(Get an image and use the mask to repair the image.)
OpenCV官方教程中文版(For Python)
- opencv-python中文教程,译自官方帮助在线文档(Opencv-python Chinese tutorial, from official online help documents)
GLCM-OpenCV-master
- 由于纹理是由灰度分布在空间位置上反复出现而形成的,因而在图像空间中相隔某距离的两象素之间会存在一定的灰度关系,即图像中灰度的空间相关特性。灰度共生矩阵就是一种通过研究灰度的空间相关特性来描述纹理的常用方法。 Gray-level co-occurrence matrix from an image 图像的灰度共生矩阵(Because the texture is formed by the repeated appearance of the gray distribution in the
图像处理之逆透视变换
- 逆透视变换的数学原理,在文档中有详细的逆透视变换的矩阵推导过程,但是没有代码,opencv逆透视变换代码可以看我发的另一篇资源。。。。。。。。。。。。。。。。。。(The mathematical principle of reverse perspective transformation, in the document there is a detailed matrix rendering process of the inverse perspective transformation
颜色识别 - 图像(普通轮廓)
- 基于opencv的简单颜色识别,载入图像进行识别,可识别出图像中的红色物体并画出物体轮廓(Opencv based simple color recognition, loading image recognition, can identify the red object in the image and draw the outline of the object.)
MFC+OpenCV图像处理
- MFC+Opencv,实现了opencv中的各种滤波、边缘检测、拉普拉斯变换及高斯变换等,源码。(MFC+Opencv,running all that important basic functions.)
opencv视频基本图像处理
- video processing on opencv
Python-opencv车牌识别
- 算法思想来自于网上资源,先使用图像边缘和车牌颜色定位车牌,再识别字符。车牌定位在predict方法中,为说明清楚,完成代码和测试后,加了很多注释,请参看源码。车牌字符识别也在predict方法中,请参看源码中的注释,需要说明的是,车牌字符识别使用的算法是opencv的SVM, opencv的SVM使用代码来自于opencv附带的sample,StatModel类和SVM类都是sample中的代码。SVM训练使用的训练样本来自于github上的EasyPR的c++版本。由于训练样本有限,你测试时会