mmn

实现目标跟踪的算法，是目前比较先进具有代表性的算法的代码(target track algorithm )

主要用于标签文字的识别，效果比较好，实用性较强(Mainly used for the identification of the label text, the effect is better, more practical)

用kfcm算法实现数据的聚类和分类效果。(Kfcm algorithm is used to achieve data clustering and classification results.)

说明：  通过拟合出一条曲线，对这个曲线进行结构函数法的分形维数计算，得到其粗糙度(By fitting a curve, the fractal dimension of the curve is calculated by structural function method, and its roughness is obtained)

基于小波阈值法来实现图像去噪，这是小波阈值去噪的程序代码。(Based on wavelet thresholding denoising method to achieve this is wavelet thresholding procedure code.)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

Gimp trainning 图形处理教程，适合自学者(Gimp trainning graphics)

利用多用方法进行数字图像去模糊实例，便于初学者理解反卷积去模糊、伪逆去模糊等基本算法(Example scripts for image debluring, try to give general introduction of some basic algorithms, such as pseudo inverse debluring.)

MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interface. After operation, the X and Y axis shifts of the correlation function, the distance and the angle of the GLCM, and the order of the fractional Fu Liye transform can be defined. Output the corresponding feature map.)

建立了混合高斯模型，可以对静止背景下运动目标进行检测。(Gaussian mixture model is established, you can still detect moving target in the background.)