facedetect521

说明：  MTLAB编写的程序，包括形态学梯度检测二值图像的边缘、用水线阈值法分割图像等。(MTLAB preparation procedures, including detection of morphological gradient binary image of the edge of the water line thresholding segmentation images.)

数字图像处理中常用的标准图像，包括大家所共知的lena等图片的高分辨率版本，推荐大家下载(Commonly used in digital image processing standard images, including all the known to the lena and other high-resolution version of the picture, we recommend downloading)

通过GDAL读取常用遥感影像，如img，tiff，可实现读取显示和雷达影像处理的一些基本算法(Read through GDAL common remote sensing images, such as img, tiff, read the display and radar can achieve some of the basic image processing algorithms)

两张图片合成实例，可类举

说明：  小波图像融合的6种方法，最大值、局部能量、平均值等等(There are six methods of wavelet image fusion, maximum value, local energy, average value and so on)

图像的自动拼接和缝补，采用sift算法作为匹配，是学习全景图像拼接的基础，大家可以下载下来看看(Automatic image stitching and sewing, using sift algorithm as a match, is the basis for learning panoramic image mosaic, you can download to see)

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

主要用来对矩阵进行奇异值分解，与MATLAB有同样的效果(It is mainly used to perform singular value decomposition on matrices and has the same effect as MATLAB.)

最大最小距离 聚类算法，可以对一维或者二维信号进行聚类分析。尤其是两类化情况较好时。(maxmum and minimum Cluster Algorithm)

基于多尺度超像素的显著性检测代码和文章(Saliency Detection with Multi-Scale Superpixels)