几何变换相关算法：垂直和水平图像，图像…

图像处理与图像分割系统,非常实用而且强大的系统可以实现多种处理功能-feichanghaodeyikuangxitongruanjian,feichagnshiyong

数字水印的两种嵌入算法和详细的报告，初学者的良师。在vista,visual studio2008下编译，运行。-Two digital watermark embedding algorithm and a detailed report of the mentor beginners. In vista, visual studio2008 under the compiler, run.

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

程序为实现RANSAC算法，通过阅读该程序后，对学习RANSAC非常有帮助.-Procedures for the realization of RANSAC algorithm, by reading the program after learning RANSAC very helpful.

图形变换和消隐，matlab guide编写-graphics transformation and blanking, Matlab guide prepared

基于DCT方法的数字水印论文5篇，对学习基于DCT方法的数字水印初学者会有帮助。可以了解基于DCT的水印基本方法。-DCT-based method of digital watermarking papers 5, to learn methods of digital watermarking-based DCT would be helpful for beginners. DCT-based watermark can learn the basic method.

图像处理源码，包括了绝大多图像处理方法，如边缘检测，区域分割-Image processing source code, including the vast majority of image processing methods, such as edge detection, region segmentation

利用数学形态学进行图像处理中的腐蚀和膨胀的源码-The use of mathematical morphology to image processing and expansion of the source of corrosion

这是一个可以实现图像格式转换的vc程序，有很好的使用价值！-This is an image format converter can realize the vc process, has very good value!

该函数用于对图像进行腐蚀运算。结构元素为水平方向或垂直方向的三个点，中间点位于原点。-The function used for computing the corrosion images. Structural elements for the horizontal direction or vertical direction of the three points, between points located at the origin.