区域编码和阈值编码实现图像压缩

LabWindows /CVI 大学实验指导书，难度循序渐进，一套下来，基本操作都会了。推荐一下(LabWindows/CVI University experiment instructions, the difficulty of step-by-step, set down, the basic operation will be. You recommend)

这是一种彩色图像去雾算法，可以识别物体的轮廓，但是同时也会加强这些轮廓，虽然去雾效果不错，但是会加强轮廓！(This is a color image to fog algorithm can identify the contours of the object, but will also enhance the outlines, although to fog effect is good, but will strengthen the profile!)

提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。(A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates the feature points which arc selected in moving objects using similarity transform，and the outliers are eliminated using RANSAC algorithm．In the image blend phase，a difference of two images is created using homogeneous transformation matrix，and a region growth algorithm is implemented SO as to segment the movmg object region．A piecewise mapping algorithm for generating panoramic images is used．Experimental results show the effectiveness of the algorithm．)

基于马尔可夫随机场的图像恢复，给出产生MRF的程序并应用于图像去噪(GMRF based on the image restoration, MRF is generated and applied to the procedures Image Denoising)

主成分分析方法（PCA），PCA算法的理论依据是K-L变换，通过一定的性能目标来寻找线性变换W，实现对高维数据的降维。(Principal component analysis (PCA), PCA algorithm is based on the theory of KL transform, through a certain performance targets to find the linear transformation W, the realization of high-dimensional data, dimensionality reduction.)

C# 图片推拉效果 实例

用于小波的图像的去噪，对于刚接触图像处理的人来说简单 易懂(For wavelet image denoising, image processing for刚接触people who are easy-to-read)

两张图片相减 散斑干涉图像获取 Two image subtraction Two image subtraction(Two image subtraction Two image subtraction Two image subtraction)

用Matlab来实现PCA，并分别求出图像在第一、二、三主分量上的投影。(Using Matlab to implement PCA, and images were obtained in the first, second and third principal component on the projection.)

对脉搏波的波峰波谷以及重搏波拐点的检测，挺好用的。。(On the pulse wave dicrotic wave peaks and valleys as well as the inflection point detection, very good use. .)