对 图像 进行垂直镜像 处理 的源代码

andorid list and menu ui construct-android list and menu ui construct

自己编写的动态轮廓模型实现图象分割的demo，包含源程序、演示数据和若干演示结果-I have written a dynamic contour model for image segmentation realize demo, contains the source code, presentation of data and the results of a number of demonstration

自编的用于图像特征提取的源程序,解压后直接运行就ok了-writing for Feature Extraction source, unpacked directly ok on the run

该代码用颜色提示实现层次式拓扑保持图像分割，效率高，分割效果好。-The code used color tips realize hierarchical topology to maintain image segmentation, high efficiency, good segmentation results.

用于对数字图像的处理，初步调研对数字图像的基本处理方法，用cvi实现图像处理界面及函数。最后针对特殊应用进行试验，给出源程序。-used for digital image processing, preliminary research on the basic digital image processing methods, cvi achieved using image processing and interface functions. Finally special application test, given the source.

图形图象细化算法，从国外开放源代码网站上下的-graphics thinning algorithms from abroad open source website ish

针对目前图像匹配算法中存在的匹配精度不高和匹配速度慢的缺点, 对基于灰度相关的 2 类匹配算法――最小误差法和相关系数法进行了改进-Improvemen t of image ma tch ing a lgor ithm ba sed on gray correla t ion

本程序基于Matlab,初步实现图像增强的基本操作,实现 图像明暗度调整， 图像旋转，更改颜色显示方式，直接灰度调整，图像求反，动态范围压缩，显示原始图像直方图，直方图均衡化，滤波增强等功能-This procedure based on Matlab, the initial realization of the basic operation of image enhancement, image brightness adjustment, image rotation, change the color display, direct gray-scale adjustment, for anti-image, dynamic range compression, display the original image histogram, histogram equalization , enhanced features such as filtering

本压缩包包含了计算机图像学中的图像平移等一些操作，而且包含了数字图像处理中的傅立叶，离散余弦等等一些算法，解释非常详细-The compressed packet contains a computer image of the school, such as image translation operation, and includes a digital image processing in the Fourier, discrete cosine and so on some algorithm, explained in great detail

本MATLAB 程序 利用SUSAN 算子来检测用点 通过角点来 计算角点处的128维向里 对这些基准图像和实时图像的向量进行匹配 实现图像的配准确 从而得到仿射变换参数-The MATLAB program using SUSAN operator to detect the use of points through the corner points to calculate the angle to where the 128-dimensional images of these benchmarks and real-time images to match the achievement of vector images obtained with an accurate affine transformation parameters