Able to realize the borders of a single target image tracking, image as a bitmap...

matlab实现的多种图像边缘检测与分割处理，适合初学者学习。-matlab to achieve a variety of image edge detection and segmentation processing, suitable for beginners to learn.

用matlab代码实现如下论文的指纹特征提取《基于Ma tlab实现的指纹图像细节特征提取》 郭晶莹，[J]北京，计算机仿真 2007.1 -Matlab code used to achieve the following papers fingerprint feature extraction, " Ma tlab based on the realization of the details of the fingerprint image feature extraction," Guo Jingying, [J] Beijing, 2007.1 computer simulation

图象处理的一些源代码，如一些变换，边缘处理等等，很多-image processing some of the source code, such as conversion, processing, and so on edge, many!

随机产生符号数和概率算法的实现 很使用 特别对图象处理-randomly generated number and the probability of achieving algorithm is to use a special pair of image processing

这个Matlab程序可以在一个目标图像中找到一个模板图像。 -The Matlab program can be found in a target image of a template image.

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

黑魔方图象处理代码，适用vc++开发。很实用-image processing code applies vc development. Practical

实例5 页码：34 稿件名称：VC图像处理－－快速傅立叶变换篇 稿件作者：耿迅 程序名称：ImageTest 运行环境：Win+VC6.0 注意事项： 由于本程序使用了VFW组件，所以在Project－－Setting中－－Object/libray modules中添加vfw32.lib。 -err

bivalueis about image

图像处理中的密度滤波方法，可去除小斑点杂波的影响。-Image processing method of the density filter can remove the effects of clutter in small spots.