chazhi

图像拼接 sift 特征点，两幅图像进行拼配 拼接，先找找出特征点匹配(The image stitching， sift feature points, two images blending splicing find someone to identify the characteristics of point matching)

说明：  利用最大间类差，最优阈值，迭代阈值等方法实现图像分割(The maximum class difference, optimal threshold and iterative threshold are used to realize image segmentation)

说明：  有数字1和2的图片各四十张，利用mat lab读取图片并将其二值化，得到只由0和1表示的矩阵，根据数字的不同特征，选择两个特征值，用来对分类器进行训练，最后用剩下的5个1和5个2来进行测试，看分类器是否可以正确的对数据进行分类。(Figures 1 and 2 pictures of the 40, using mat lab picture and secondly, the value of reading, and received only by 0 and 1, said matrix, according to the number of different features, select the two characteristic values, used to classifier training, and finally with the remaining 5 1 and 5 2 to carry out tests to see whether the classifier can correctly classify the data.)

图片的预处理 将图片读入之后 经过灰度处理 中值滤波（多次） sobel算子运算 二值化运算 最后做细化 处理 显示并保存 细化后的图象(Pretreatment of the picture after the picture to read through the gray scale median filter processing (multiple) sobel operator Binary operator to do the final thinning operation display and save the image after thinning)

用于对灰度图像的双边滤波，程序简单易懂，还有很强的可开发性(Bilateral Filtering)

用自相关法 来实现图像匹配，非常好用，值得一试(Autocorrelation method to achieve the image matching, very easy to use, it is worth a try)

说明：  对图像进行处理，直接在RGB图片上画直线，矩形，多边形，写字。(Image processing, including the pictures directly on the RGB lines, rectangles, polygons, write.)

fy3（hdf5格式）mersi数据投影到等经纬度(projecting fy3 mersi hdf5 format to longlat )

imnoise的M文件，对数字图像的加噪声非常有用处！(imnoise M-files, plus noise on digital images is very useful!)

如题，matlab手写数字测试图像处理 样本（30+50个）加全代码加测试结果(Like title, matlab handwritten digital test image processing samples (30 + 50) plus full code plus test results)