colorhist

对输入图片进行LBP特征提取，并实现LBP特征可视化( U5BF9 u8F93 u5161 u5D3 u53D3 u53E0 )

graphcut的最新改进，在网格上应用graphcut，作者将其称为gridCut,此压缩包内含文章与源代码，出自CVPR2012,关注计算机视觉的同学可以详细参考，代码已调试通过(the new advance of graphcut, named gridCut, derived from CVPR 2012, useful to guys on ComputerVision.The code is runnable.)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

基于matlab的、结合深度图像的图像修补( Image patch based on matlab, combined with the depth of the image )

DCT变换的MATLAB代码。无私奉献啦。希望给有用的朋友(DCT Transform MATLAB code. Selfless dedication啦. Want to give useful Friend)

CT重建图像时，先用BM3D滤波，然后运用经典的非局部平均去噪，效果很好。。(CT reconstruction image, the first with BM3D filter, and then use the classical non-local average denoising, very good. .)

基于除法模型的鱼眼图像校正代码，包含摄像机内参和畸变参数在内的5个参数，无需进行填补空洞的操作。(Based fisheye image correction code division model, including internal camera and distortion parameters, including five parameters, without the need for filling voids operation.)

使用GDI 进行动态会制多叉树代码，例子是使用FP-Tree算法生成的一个多叉树进行动太绘制

各种信息熵的计算，包括Tsallis 熵，Renyi熵，Shannon熵等，及它们的扩展形式。(The functions include extensive Shannon and nonextensive Tsallis,escort Tsallis,and renyi entropy.)

针对 Anrlod 变换的周期依赖于图像的阶数这一特性, 提出了一种反变换算法 。 该算法 通过分析加密图像任一点处两坐标分量间关系, 得到原图像相应点的坐标 , 从而实现图像的解密。(In view of the characteristic that the Anrlod transform cycle depends on the order of the image, an inverse transformation algorithm is proposed. The algorithm obtains the coordinates of the corresponding points of the original image by analyzing the relationship between the two coordinate components at any point of the encrypted image, so as to achieve the decryption of the image.)