video_compression

3种分别基于选择、交叉、模拟退火的混合粒子群算法，matlab编程。(Were based on three kinds of selection, crossover, hybrid particle swarm simulated annealing algorithm, matlab programming.)

背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 这两种算法为处理图像跟踪的基本方法 (Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking)

采用Harris原理提取角点，并将角点坐标写入txt文档以便后续处理，附处理前后图片(Principle extracted using Harris corner, corner point coordinates and write txt document for subsequent processing, with before and after pictures)

对自适应双边滤波进行图像增强，使图像去噪效果更好(Adaptive bilateral filtering for image enhancement, image denoising effect is better)

上课时做的一个小程序，表达式计算程序，采用vc++，可能有点儿小瑕疵，但基本运行是没问题的(Class to do a small procedure, expression of the calculation procedure for the vc++, may be a bit small flaws, but the basic operation is no problem of)

用matalab编译的，求取 车牌图像的方法，很实用下载后 导入目标图像即可(The compiler with matalab, and calculate the license plate image, the method of practical import target image after download )

边缘检测 Edge Detection Edge Detection(Edge Detection)

【实例简介】

SAI图像插值算法 可插值uint8 uint16 图像(SAI image interpolation algorithm can interpolate uint8 uint16 image)

自己写的双阈值分割算法，可以用在多个场合(Write their own dual-threshold segmentation algorithm can be used in a number of occasions)