hessian

hough变换检测椭圆，先进行二值化检测边缘(hough u53D8 u6362 u68C0 u6D4B u692D u5706 uFF0C u5148 u8FDB u884C u4E8C u503C u5316 u68C0 u6D4B u8FB9 u7F18)

二维窗口函数，包含汉宁窗，布莱克曼窗，契比雪夫窗等(it creates a 2 dimentional window for a sample image)

说明：  利用K均值聚类对图像lena进行分割，图片可根据需求进行更换。(Image Lena is segmented by k-means clustering, and the image can be replaced according to the demand.)

实现了遥感图像可以进行阈值分割和分水岭分割(Threshold segmentation, watershed segmentation)

说明：  按照最邻近原则把待分类样本点分到各个簇。然后按平均法重新计算各个簇的质心，从而确定新的簇心。一直迭代，直到簇心的移动距离小于某个给定的值。(According to the nearest neighbor principle, the sample points to be classified are divided into clusters. Then the centroid of each cluster is recalculated according to the average method to determine the new cluster center. Iterate until the moving distance of the cluster center is less than a given value)

matlab实现人脸识别和虹膜定位 识别效果良好(Accurate eye location by MATLAB)

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)

将图片进行8*8块的dct变换，以及8*8块的反变化恢复原图像(use 8*8 block dct to chang image, and use 8*8 block idct to renew image.)

利用最大熵方法求图像二值化的阈值 输入的图像名称，读取名称是M的图像文件 统计各个灰度级出现的概率 (Using the maximum entropy method for image binarization threshold input image name, the name is M read image files in various gray-scale statistical probability)

基于SIFT的图像配准.最全版本。学习SIFT之必备资料。(image mosaic based on MATLAB)