suif1.info-3.tar

这是一个实时提升小波，滤波程序，它可以滤除噪声(This is lift wavlet,denoting the note process)

像素级融合实现 pca his，brovery加权融合方法，很不错(Pixel level fusion to achieve pca his, brovery weighted fusion method, very good)

BP神经网络图像分类程序,代码很好懂，适合初学者。样本选的不是很大。(BP neural network image classification procedures, code easy to understand for beginners. Sample selected is not great.)

滤波反投影CT图像重建算法 filter-backproject reconstruction, including feldkamp (FDK) cone beam(Filter back projection algorithm for CT image reconstruction filter-backproject reconstruction, including feldkamp (FDK) cone beam)

图像去雾代码，参考文献《An Investigation of Dehazing Effects on Image and Video Coding》(matlab code for dehazing，reference：<An Investigation of Dehazing Effects on Image and Video Coding>)

一种基于改进DRLSE的运动目标分割方法,为了得到精准、连续的运动目标轮廓，提出将帧间差分法和改进的距离规则水平集演化(DRLSE)方法结合应用于运动目标分割。(In order to get an accurate and continuous contour of moving target, a novel method to segment moving object by combining the frame difference and an improved distance regularized level set evolution (DRLSE) is proposed. )

针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )

內容為目標物追蹤程序原碼 可使用webcam連線找尋想要之目標 進行追蹤(The contents of the target tracking procedure for the original code can be used to connect webcam to find the target you want to track)

可以实现对交通视频中运动车辆的检测和目标的提取，只需要稍作修改即可使用(You can achieve the target detection and extraction of moving vehicles in traffic video, you only need minor modifications to use)

imnoise的M文件，对数字图像的加噪声非常有用处！(imnoise M-files, plus noise on digital images is very useful!)