SparseLab21-Core

该源程序实现了SAR图像变化检测的功能，方法是基于修正马尔科夫随机场的模糊C均值实现SAR图像的变化检测。(The source program realizes the function of SAR image change detection. The method is based on modified Markov random field fuzzy C-means to realize SAR image change detection.)

垂直投影算法。可以直接在matlab上跑(err)

经典的跟踪算法，可以对人脸进行实时的跟踪。(Classical tracking algorithm can be real-time face tracking.)

说明：  用MATLAB实现数字图像处理的块编码，数字化，锐化，灰度级变换，直方差均衡等等。(Using MATLAB realization of digital image processing block coding, digitization, sharpening, gray-scale transformation, and so straight variance balanced.)

利用V4L2协议进行图像处理的编程框架结构(The utilization the V4L2 protocol for image processing programming framework structure)

orl人脸库，40个人，每人10幅图像。(orl face database, 40 individuals, 10 images per person.)

说明：  1.使用medfilt2函数对‘lena.bmp’进行不同模板大小的中值滤波，并观察效果 2.使用fspecial函数构造‘gaussian’, ‘sobel’, ‘prewitt’, ‘laplacian’, ‘average’等不同滤波算子，使用filter2函数对‘cameraman.tif ’进行滤波，观察不同滤波器的效果 3.设计频域理想低通和理想高通滤波器，对‘phantom.bmp’图像进行频域滤波，显示滤波结果。然后改变截止频率，观察对结果的影响。 4.对‘homo.bmp’进行同态滤波，其中频域同态滤波器自行设计。要求在程序注释中说明你设计该滤波器的思想。(1' lena.bmp 'The median filtering with different template sizes was carried out and the effect was observed2. Fsspecial function is used to construct different filter operators such as' Gaussian ',' Sobel ',' Prewitt ',' Laplacian ',' average ', etc' cameraman.tif 'Filter and observe the effect of different filters3. Design ideal low pass and ideal high pass filters in frequency domain' phantom.bmp 'The image is filtered in frequency domain and the filtering result is displayed. Then change the cut-off frequency and observe the effect on the results.4. Yes' homo.bmp 'The homomorphic filter is designed by ourselves. The idea of designing the filter should be explained in the program notes.)

说明：  进行Lee滤波的MATALB代码，适用于任何需要进行滤波的场合，尤其适用于InSAR处理(MATALB code for Lee filtering is suitable for any occasion where filtering is needed, especially for InSAR processing)

基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)

官方版SaliencyToolbox最新版本，对加载图片进行视觉注意机制的显著性运算，压缩包内含多张素材图片(The latest version of official version SaliencyToolbox of, load the image of the visual attention mechanism, a significant sex operator, compressed packets containing more than one material picture)