数字图像处理，反色 内含参数图片，源码

sift图像匹配算法实现 两幅图像合并成一幅图像-image matching algorithm sift two images into an image

算法特点： (1)可检测低对比度直线(可根据感兴趣问题的边缘强度调整)； (2)编程接口简单，集成移植非常容易，算法可输出图像中每条直线的起点、终点、斜率等参数； (3)程序代码完全工程化设计，对320×240图像的处理速度可达15帧/秒； 测试方法： 在安装有USB CMOS摄像头的计算机上直接运行本程序即可看到实时检测直线的处理效果(采用不同颜色表示不同方向的直线)。 (可用于立体视觉、摄像机标定、人体运动分析、智能交通道路检测、工业生产监测等) -Algorithm features: (1) can detect low-contrast line (which can be the basis of issues of interest to adjust the edge intensity) (2) The programming interface is simple, very easy to transplant integration, the algorithm can output images in a straight line for each starting point, the end of the slope and other parameters (3) code fully engineered design, on the 320 ⊙ 240 image processing speeds of up to 15 frames/s testing methods: in the installation of USB CMOS camera has a computer running the program directly to see real-time Detection of linear treatment effect (using different colors in different directions that a straight line). (Can be used for stereo vision, camera calibration, human motion analysis, intelligent traffic detection,

这个也是图形学的一个作业，不过功能比较全面和强大，可以完成基本几何体的造型、多边形化，可以设置场景光源并进行光线跟踪渲染等。启动类为final_3d.Final_3D-this is a graphics operation, but function more comprehensive and powerful, can be completed basic geometric shapes, polygons, and can be installed Scene light source and Ray Tracing rendering, etc.. Start category final_3d.Final_3D

分类，纹理特征，提取特征向量，matlab 7.0 原程序，classifer,texture-Classification, texture features, feature vector extraction, matlab 7.0 original procedure, classifer, texture

自适应lms算法程序，对学习lms算法很有帮助-lms

Description: A faster implementation of binary dilation and erosion. Our functions take advantage of MATLAB s decomposition of the structuring element but they may result much faster. Try to run example.m to see the speed improvement factor, changing the parameters.

嵌入式上的JPEG解码程序。速度非常快！-Embedded on the JPEG decoding process. Very fast!

用傅立叶变换的方法在频率域实现图像处理，并比较从幅度和相位恢复图像的区别，已经通过调试-Fourier transform method used in the frequency domain realization of image processing, and compare the amplitude and phase from the difference between the restoration of images, has passed debugging

用GAC变分水平集方法进行图像分割，克服传统方法中的断裂问题 -GAC used variational level set approach to image segmentation, the traditional method to overcome the problem of fracture

学习mfc的好资料，对学习mfc很有帮助，能够很容易查询要点疑难-Learning mfc good information on the study mfc helpful can easily check points Difficult