资源列表
image-inpainting-master
- 通过进行吉布斯抽样和PDE扩散来进行图像修复。原始图像具有（红色、绿色、蓝色）波段，通过在原始图像的红带上施加掩码图像来生成失真图像。(This is a task of image restoration and inpainting with two methods - **Gibbs sampler** and **PDE diffusion**. The original image has (Red, Green, Blue) bands, and the distorted imag
Texture_Synthesis_Image_Inpainting-master
- 通过基于纹理的图像修复算法对具有较大的破损区域的图像进行了修复；MATLAB代码(Texture based image restoration,MATLAB)
hunman dectection
- 在场景中检测到人，可用boundbox框选出目标。(If people are detected in the scene, they can be selected by boundbox box.)
霍夫线变换综合示例
- 霍夫线性变换的一些例程，有代码有结果希望能帮到大家(Hof linear transformation)
SpeedTreeCAD4.2
- Speedtree CAD 2.4 for trees modeling
WhiteBalance-master
- 基于matlab图像白平衡处理； 包含 ortalama_renk.m； whiteBalance.m； face_detection_v1.m(White balance image processing)
zhaocha
- 基于MFC环境，使用OpenCV的相关函数，实现了对“大家来找茬”游戏界面的两张图片的比较，并通过鼠标点击，较为准确的判断出不同之处。(Based on the MFC environment, using the related functions of OpenCV, the comparison of the two pictures of the "everybody to find out" game interface is realized, and the d
opencv Reference Manual_2.4.9
- OpenCV2.4.9版本的使用说明，里面包含了各种函数的定义、声明和使用。英文版，但内容比较容易理解。(The use of OpenCV2.4.9 version contains all kinds of functions definition, declaration and use. English version, but the content is easier to understand.)
OpenCV_2411
- OpenCV2.4.11版本中，配置附加依赖项的属性时需要添加的内容。注意，Debug和Realse环境下添加的内容不同。(In OpenCV2.4.11 version, we need to add additional attributes when configuring additional attributes. Notice that Debug and Realse add different contents.)
test
- 将VS第一次配置时OpenCV的项目属性表保存下来，每次新建项目时引用即可。右击新建的项目，选择属性管理器，在Debug目录下添加现有项，选择该压缩文件中的OpenCV_Debug。这里配置的OpenCV的版本是2.4.11。(Save the item property table of OpenCV when VS is configured for the first time, and reference every time the new project is built. Righ
code
- 三种图像去噪源码（matlab实现） 1.均值滤波对高斯噪声的效果 2.二维自适应维纳滤波对高斯噪声的滤除效果 3.对加入椒盐噪声的图像分别作均值、中值和维纳滤波(Three images to noise source code 1. The effect of mean filtering on gaussian noise. 2. The filtering effect of 2d adaptive wiener filtering on gaussian noise. 3.
路面移动车辆检测
- 视频车辆检测 中值滤波 背景差法 实现视频中移动车辆的检测。更新背景(Video vehicle detection)