vb编的填充曲线

利用几种方法进行运动估计并用MATLAB实现-Several methods of using motion estimation and use MATLAB to achieve

windows realtime draw picture

北京大学遥感所的研究生图像处理讲义高级遥感数字图像处理（硕士生课程）之第十三章 离散图象变换-Peking University

用MFC实现图像融合和叠加功能,很好用的。-Using MFC to achieve image fusion and stacking features, very good use.

一个关于图形图向生成的软件-on a graphical map generation software

Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level, component classifiers independently detect components of a face. On the second level, a single classifier checks if the geometrical configuration of the detected components in the image matches a geometrical model of a face. We propose a method for automatically learning components by using 3-D head models. This approach has the advantage that no manual interaction is required for choosing and extracting components. Experiments show that the componentbased system is significantly more robust against rotations in depth than a comparable system trained on whole face patterns.

source code for OCR in matlab using -source code for OCR in matlab using NN

两幅图像的融合原码-two images of the original code integration

图象的边沿检测与提取，轮廓跟踪算法代码-Image edge detection and extraction, contour tracking algorithm code