用MATLAB一次性快速过滤图像得到2G Gaussian Model. 查看spacefilter.m....

通用图像读取、保存、显示等基本操作,功能完整，代码可靠。-Common Image read, preserve, display and other basic operations, full-featured, reliable code.

通用的3*3模板的函数程序.上述代码在VC6.0，windows98下编译通过，运行正常，有兴趣的朋友可以稍加修改，将文中所述的功能添加到自己的应用程序当中去。-generic 3* 3 function template procedures. In the above code VC6.0. Compiling under Windows98, operating normally, the interest can be slightly modified friends, the text of the functions described in addition to their application to them.

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

将256色的彩色图像转换灰度图像，包含测试图像。-Will be 256-color color image is converted gray image, including the test images.

实现图像的点运算，包括阈值变换，灰度拉伸，灰度均衡等-Realize image point computation, including the threshold transform, gray stretch, gray balance, etc.

这是个图像处理小程序,源码附上,以供大家参考-This is a small image processing procedures, the source code is attached for your reference

通过纹理方法来分析图像，这个MATLAB代码对于认识和理解图像的纹理特征有很大的帮助-the MATLAB program of image texture analysis

提出了基于边缘特征的亚像素投影配准算法,法引入新的图像相似性评价函数 ― 均方误差函数(Mean Sequare Er ron ,MSE)-Proposed sub-pixel edge features based projection matching algorithm, France and the introduction of a new image similarity evaluation function- the mean square error function (Mean Sequare Er ron, MSE)

由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩 色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点， 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color―based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity

几个程序，Wallis变换，DCT变换，形态学操作-several procedures, Wallis transform, DCT, morphological operations