optical_flow

维纳滤波法去除加有高斯噪声、椒盐噪声、乘性噪声(Wiener filter method to remove the addition of Gaussian noise, salt and pepper noise, multiplicative noise)

图像处理的简单程序，适合初学者，自己好好看看(Simple image processing procedures, suitable for beginners, its a good look)

一种基于超像素的图像分割程序，是cvpr13年文章的相应代码，可以学习下(An ultra-pixel-based image segmentation procedure is the appropriate code cvpr13 In the article, you can learn under)

若干次压缩后图像信噪比的变化情况，有子程序实现 (Several compressed image signal to noise ratio of the changes have Subroutine realize)

扩散方程的MATLAB代码：可用于图像平滑、去噪、滤波及图像的边缘处理等(Diffusion equation of the MATLAB code: can be used for image smoothing, denoising, image filtering and edge treatment, such as)

说明：  相机是将三维世界坐标系中的坐标点映射到二维图像平面的过程能够用一个几何过程描述，最简单模型称为针孔模型。 因为相机镜头透镜的存在，使得光线投影到成像平面过程中产生了畸变。(Camera is the process of mapping coordinate points in three-dimensional world coordinate system to two-dimensional image plane, which can be described by a geometric process. The simplest model is called pinhole model. Because of the existence of camera lens, the light rays are distorted when they are projected onto the image plane.)

说明：  能够实现对生物芯片的识别和图像处理，识别有效芯片区域，读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)

数字图像处理有关的论文，很优秀，很有指导意义的一篇论文。(Digital image processing the papers, very good, very instructive paper.)

提出一种基于非采样contourlet变换的红外与可见光图像融合方法。高频系数结合活性度量和多分辨率系数间相关性来实现加权融合；低频系数通过局部梯度进行活性度量，再采用加权与选择相结合的规则。(Proposed a contourlet transform infrared and visible image fusion method based on non-sampling. The high-frequency coefficient binding activity to measure the correlation between multi-resolution coefficient weighted fusion activity measure low frequency coefficients of the local gradient, and then weighted and selection combining rules.)

图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高(Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve the correct rate)