资源列表
OpenGL_book_code
- OpenGL编程指南(第四版)的书 和里面的所有例子的code，是OpenGL学习的很珍贵的资料！-OpenGL Programming Guide (page 4) and the book inside all the examples of the code, OpenGL study is a very valuable piece of information!
2009DIPFrame
- 基于vc2008的MFC的对话框，分别用button控件和list控件显示图片，后者显示图片的缩略图并能在static控件中显示放大图；是一个图片分类结果的展示界面-Vc2008 the MFC-based dialog box, respectively, with button controls and list controls display picture, which shows thumbnails of images and can display static control
paticle_filter_tracking
- 运用基于粒子滤波法和MEANSIFT算法实现视频序列的目标跟踪-The use of particle filter based algorithm and MEANSIFT tracking video sequences
数字图像处理与分析(刘定生老师)课件
- 大家赶快下载吧，不错的图像处理课件，刘定生老师的。(digital image process for students or developor)
61EDA_C1479
- 实现人脸识别的代码,是上海交大赵峰老师的实现代码-Achieve face recognition code, Zhao Feng of Shanghai Jiaotong University teachers to achieve code
CAR
- 網路上找到，用OPENCV去做車牌辨識，可以參考-Find on the web, license plate recognition, you can do with OPENCV Reviews
stereo_readimage
- 普通双目摄像机下利用OpenCV的函数实现标定、校正、匹配，匹配方法利用了多种匹配的算法简单做了下比较，其中的GPU算法需要有N卡的支持。-Ordinary binocular camera using OpenCV function calibration and correction, match, matching method uses a variety of simple matching algorithm under which the the GPU algorithm req
lib
- 采用PCNN和ICM进行图像特征提取并去噪时所采用图像数据库-Using PCNN and ICM for image feature extraction and denoising the image database
jTessBoxEditor-1.6
- 这款开源的平台，可以进行数字，英文的识别，汉语的识别需要加入汉语模块到library库中，汉字的识别率和图像的清晰度有关。(tesseract-ocr-setup-3.02.02.zip)
imagemfc2
- 可以做一些简单的图像处理，如锐化，滤镜等。还可以通过画笔在图像上进行改变。使用了opencv库-Can do some simple image processing, such as sharpening, filters and so on. You can also change the brush on the image. Using the opencv library
camera
- 用opencv写的摄像头畸变校正程序，mfc版（vc6.0），程序注释详细，参数都已调好，内附详细说明使用文档-Camera distortion correction program written with opencv, mfc (vc6.0), the program comment in detail, the parameters have been fine, enclosing a detailed descr iption of use document
水下图像去雾与增强
- 这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement