RGBImageSegment

图形图像处理软件 MFC 功能强大 OpenVC 武汉大学出品(MFC graphic image processing software produced powerful OpenVC Wuhan University)

说明：  图像配准SIFT算法,使用python实现（github搬运）(image resigtration sift)

图像融合质量评价指标，包含灰度值，平均梯度，光谱扭曲程度，SSIM，PSNR，MSE等等。(Image fusion quality uation, including gray value, average gradient, spectral distortion degree, SSIM, PSNR, MSE, and so on.)

graph cut 源码实现,yuri Boykov大牛的经典之作(graph cut algorithm matlab implementation)

用IDl编写的，用IDL图像处理。已调试好的程序。(Prepared using IDL with IDL image processing. Debugging process has been good.)

这本是用VC++来实现图像处理的书藉,对于学习图像处理的来说是非常有用的.(This is VC++ to realize image processing books, for learning image processing is very useful.)

卡尔曼滤波在目标跟踪中应用仿真研究 简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。(Kalman filter target tracking simulation study brief discussion of the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to evaluate the effect of the experimental.)

FEM表面网格配准工具箱，通过计算最优仿射变形参数得到点云的配准。(FEM surface grid alignment toolbox, by calculating the optimal affine deformation parameters of the point cloud registration.)

说明：  图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等(Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)