资源列表
Max_MI_image-registration
- 互信息量法，计算两图像位置差异，实现图像配准所需坐标偏移量-Mutual information method to calculate the difference between the position of the two images to achieve image registration required coordinate offsets
Particles
- 3D显示中的粒子系统，可以各个方向调节，希望大家也改进改进。-Dynamic demo program of Particles stream，which can be adjusted easily.
Solar-System
- 模拟太阳系的运行，包含了几个行星，可以良好的运行。-Simulative procedure of the Solar System，which contain several planets。
work
- 数字信号处理中数字滤波器的设计及对其滤波使用-Digital signal processing in the digital filter design and its use filtering
measurement
- 有两个原图像，通过SFS算法三维恢复，并计算鸡蛋体积-There are two original image, through the SFS algorithm of 3 d recovery, and calculate the volume
gaussian
- 图像高斯金字塔，生成高斯金字塔，依次进行图像下采样- Image gaussian pyramid,To generate the gaussian pyramid, under the image sampling in turn
SSD
- 图像处理立体匹配算法：Sum of Squared Defferences (SSD)算法的实现-Image processing stereo matching algorithm: Sum of Squared Defferences (SSD) algorithm implementation
GraphCut
- 图像立体匹配算法GraphCut算法实现源代码-Stereo matching algorithm GraphCut algorithm source code
ImageMatting
- 图像处理ImageMatting的实现。主要思路是： 1）手工交互的给出一个前景区域的包围盒。 2）根据当前的前景和背景分割结果，分别估计前景和背景的GMM模型 3）用GraphCut算法进行分割 对上述2），3）两步进行迭代，得到比较好的分割结果 （分割-->估计前景背景-->分割） 4）matting-Image processing ImageMatting achieved. The main idea is: 1) gi
SiftMatch
- 图像处理Sift 特征匹配算法。用到GSL库，需在 VS2010中的配置GSL才能正常运行。-Sift image processing feature matching algorithm. Use the GSL library, you need to configure the GSL in VS2010 to run properly.
KTL(1.3.4)
- 图像处理中的特征匹配算法，KTL特征跟踪算子的实现。参考论文：Good Features To Track-Image processing feature matching algorithm, KTL feature tracking operator implementations. Reference papers: Good Features To Track
Digital-Image-Processin
- 可以进行离散余弦傅里叶变换，反变换，高通滤波，低通滤波等。数字图像处理-Can be discrete cosine Fourier transform, inverse transform, high pass filter, low-pass filtering. Digital Image Processing