cuttest20180821

说明：  利用Em算法进行图像分割的代码，可以运行，代码简短清晰，有利于初学者，希望对你有用(Em algorithm using image segmentation code, you can run, code clear brief will help beginners, in the hope that useful to you)

说明：  利用matlab对多光谱遥感影像进行水体指数（ndwi）以及植被指数（ndvi）提取(Extraction of Water body Index (ndwi) and vegetation Index (ndvi) from Multispectral remote Sensing Images by matlab)

模拟单缝衍射实验，可任意给定单缝的长和宽，得出单缝衍射模拟图像、光量等高线分布图、单缝衍射3D模拟图；另外附带一个关闭全屏的小程序。(Simulation of single-slit diffraction experiment, sewn to order any length and width, draw single-slit diffraction analog image, the amount of light contour maps, 3D modeling diagram single slit diffraction addition Close Full Screen comes with a small program.)

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)

对脉搏波的波峰波谷以及重搏波拐点的检测，挺好用的。。(On the pulse wave dicrotic wave peaks and valleys as well as the inflection point detection, very good use. .)

【实例简介】

这个matlab程序实现了基于SPIHT多级树集合分裂的图像压缩算法。 (Matlab implementation of this procedure based on the SPIHT multi-level set to split the tree image compression algorithm.)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)

通过执行程序，可以实现对物体视差图的生成，进而可以实现深度图。(Through the implementation of the program, you can achieve the object disparity map, and then you can achieve depth map.)

利用索贝尔算子两种模板提取图像梯度，幅度选取分别利用欧式距离、城区距离和棋盘距离。(Using two templates of Sobel operator to extract the gradient of a image. Magnitude was selected by using Euclidean distance, city distance and chessboard distance.)