digital identification beginners I hope everyone likes me in behind the upload

图像比对是以原件的图像为基准，对待鉴定件图像进行预处理、定位、配准；再对原件及待鉴定件的图像进行相似度比对；计算出两者的相似度数值。 -Image than on the original image is based on identification of pieces of treated image pre-processing, positioning, registration again and to be identified on the original piece of image similarity matching calculate the similarity between the two values.

用遗传算法实现的图像分割程序，很好用的程序！-Genetic algorithm is used to realize the image segmentation process, a good procedure to use!

用用VTK与VC++混合编程实现对人脑等值线的绘制，内含人脑数据-use with VTK and VC mixed programming of the human brain contour mapping, data containing the human brain

图像融合工具箱，包括线性方法，非线性方法，多分辨率方法等-The image fusion toolbox comes as a set of matlab m-file functions

主要实现在灰度图像上处理图像的灰度值，包括灰度线性变换等操作。如果是彩色图像则首先灰度化，在进行操作。-main achievement of the gray image processing images on the gray values, including gray linear transformation operation. If it is the first color image is gray, the operation is in progress.

用于提取数码相机相片中的EXIF信息，几乎所有的信息都可以提取出来-For extracting digital camera photos in the EXIF information, almost all of the information can be extracted

可进行二值化、灰度变换、投影法、直方图显示，实现众多基本算法变换，针对8位或16位图象-could be two binary, gray-scale transformation, projection, histogram shows that many basic algorithm to achieve transformation, against eight or 16 images

采用hough变换检测圆的仿真程序，希望对大家有用。-Hough transform circle detection using the simulation program, in the hope that everyone useful.

一种新的计算马氏距离的算法，算法采用二次协方差矩阵操作，进而使距离考加入相对性因素。-a new Mahalanobis distance calculation algorithm, the algorithm using quadratic covariance matrix operations, thereby enabling the relative distance to take factors.

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