6Improved-discriminate-analysis-

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)

采用8个阵元，利用CAPON算法，进行DOA，画出波达方向估计误差随着信噪比变化的曲线图(Eight elements, the use of the CAPON algorithm of DOA draw the DOA estimation error changes with the SNR curve)

建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)

ASM和AAM功能的合集，是一个外国人开发的工具箱，需要addpath，已试过可用，(ASM and AAM function of the collection is a foreigner development toolbox need the addpath, have tried available)

一本运用Visual C++ 的 数字图像处理的书里的源代码。非常好，初学者，很快可以上手.范例 3(Visual C++ for The digital image processing)

提取指纹图象的 方向场还有ROI。喜欢就下。还可以。(Extraction of fingerprint orientation field there is image ROI. Like on the next. Can also be.)

说明：  此程序是关于车牌识别重的一个重要环节——图像的二值化过程，希望能给你一些帮助(this program is heavy on the license plate to identify an important part of the-- the two values image process and hope to give you some help)

一种采用中心环绕函数进行的retinex算法，可以对于暗视觉的图像进行有效的增强(A center around the functions of the Retinex algorithm, can for scotopic vision image effectively enhanced)

说明：  SMD,Brenner,Robert,EOG,Sobel算子图像清晰度计算(SMD,Brenner,Robert,EOG,Sobel,evaluation function)

说明：  多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)