analysefusion

自己编译的小波矩特征提取matlab代码(Wavelet moment to compile the feature extraction matlab code)

说明：  EM算法是最为经典的统计图像分割方法，代码基于matlab，使用EM算法实现图像分割,源代码加实例图像，非常好用(By using EM algrithm to realize the segementation of image)

说明：  基于相关跟踪的飞机识别和目标跟踪，matlab代码实现(Target tracking of aircraft can be achieved)

包括图像输入（打开文件、采集、捕捉图像、从剪贴板粘贴、打开扫描软件、灰度化、添加随机噪声、椒盐噪声、去噪声）、图像处理（几何变换、灰度反转、直方图均衡化、直方图统计、图像复原、边缘提取、伪彩色、二值化、图像变换）、图像输出（另存图像、打印输出、复制到剪贴板）(Including image input (open the file, capture, capture images, paste from the clipboard, open the scanning software, graying, adding random noise, Salt and pepper noise, to noise), image processing (geometric transformation, gray inversion, histogram equalization oriented, histogram statistics, image restoration, edge extraction, pseudo-color, binary, image transform), image output (save the image, print out, copy to clipboard))

基于导纳增量法的光伏发电最大功率跟踪算法仿真模型。该模型精度较高，很好的跟踪最大功率点(Based on admittance incremental method of photovoltaic maximum power tracking algorithm simulation model.The model precision, good track the maximum power point)

利用TMS320VC5509A为核心的DSP处理硬件,通过软件实现自适应Notch滤波和瞬时频率序列方差检测(VIRD)运算,在较低信噪比使用条件下完成对单频测距信号的可靠检测和判定(Using tms320vc5509a DSP core processing hardware, adaptive notch filter and variance of instantaneous frequency sequence detection (Vird) operation is realized by software, in low signal to noise ratio under the conditions of use complete reliable detection of single frequency ranging signal and judging)

图像增强的matalab程序，里面有基于小波的，contourlet变换的，拉普拉斯塔等的增强，比较详细，有说明文件里面(Matalab image enhancement procedures, which have based on the wavelet, contourlet Transform, etc.拉普拉斯塔enhanced, more detailed, it has documentation)

压缩感知图像重构的算法，直接观测原始信号（二维），最后重建(Compressed sensing image reconstruction algorithm, direct observation of the original signal (two-dimensional), and finally reconstruction)

文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类( Based on fusion of these flame features，the support vector machine (SVM) is used for classi- fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient and fast for fire detection，and it could detect fire real-time under a variety of circumstances．)

这是香港大学沙威博士写的压缩感知引论及相应的OMP算法。(This is written by the University of Hong Kong, Dr Savit compressed sensing cited dealt with the OMP algorithm.)