I have uploaded the two resources are in my work written by its own independent...

图像分割的经典课本，对与研究图像处理方面的同仁有很大帮助-Image segmentation of the classic textbooks, and research on image processing aspects of great help to have Tongren

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是Wash分析-for image processing, have been tested, the very practical, The main source of analysis Wash.

利用双缓存的技术实现对图像的显示，克服了图像显示时容易闪烁的问题-cache dual use technology to achieve the right image, overcome the image display easily scintillation problems

数字图像处理：阈值分割及形态学处理，本程序出色的完成了图形提取，内容包括程序，讲解和运行结果-Digital image processing: segmentation and morphology threshold treatment, the procedure was completed excellent graphics extraction, including procedures and operations on the results of

近邻法的matlab 程序,采用1近邻法,多分剪辑的方式,有助于对近邻法的理解-Matlab neighbor law procedures, the use of one neighbor method, multi-way sub-clips, contribute to the understanding of neighbors Law

Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。-Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.

用photoshop月球表面的详细制作过程-The lunar surface using photoshop detailed production process

（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.

方块编码程序 本程序采用了最简单的方块编码对512×512的lena图像进行了编码 运行程序后可以看出，方块取得越大，图像编码后失真越大。 -Box coding procedures used in this process the most simple box of 512 × 512 encoding the lena image after the encoding run the program we can see that the box to obtain the greater the greater the distortion image is encoded.

基于DSP_ARM的图像增强技术，一片不错的文章，给大家参考-DSP_ARM-based image enhancement technology, a good article for your reference