pca

说明：  这个matlab代码，用于测试图像融合函数的算法性能。输入两幅原始图像和融合以后的图像，函数将评价出该算法的性能。(The matlab code, for testing image fusion algorithm function. Input the original image and the integration of two subsequent images, the function will evaluate the performance of the algorithm.)

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)

用于图像分割，基于fcm算法的图像分割，实现模糊均值聚类的分割，更准却的实现分割。(For image segmentation, image segmentation based on FCM algorithm, the realization of fuzzy clustering segmentation, more accurate but to achieve segmentation.)

DC图像转BMP源码，程序调用API函数把DC图像直接写入BMP图片中,不使用临时组件中转。(DC image transfer BMP source , the program calls API function to DC BMP picture image is written directly , without the use of temporary transit components .)

h264实现监控,不是动态的，是通过读取每一帧图像(h264 yuv420 to rgb)

说明：  抠图中最为经典和基本的算法贝叶斯抠图，在matlab下的实现，效果和速度都较为理想。(Bayessian Matting is the most basic and classic method in matting algorithm.We provide a implementation in matlab.)

小波包变换去噪和滤波去噪的word，可以直接剪切到MATLAB。有分析(Wavelet Packet Denoising and filtering denoising word, you can cut directly to MATLAB. Some analysts)

一种鱼眼镜头校正算法的MATLAB实现，附论文及源代码(A MATLAB implementation of fisheye lens correction algorithm)

[Wang 1998]Spiral CT Image Deblurring for Cochlear Implantation

无监督分类方法，包括kmeans，som和fcm，非常好用(Unsupervised classification methods, including kmeans, som and fcm, very easy to use)