JPEG

模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序(One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clustering procedure)

这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)

多类 kmeans 图像分割，基于灰度的图像分割。(Kmeans image segmentation, segmentation based on gray-scale images.)

一种基于背景减法和帧差的运动目标检测算法(Based on background subtraction and frame difference moving target detection algorithm)

M估计子，计算机视觉大牛Peter Meer出品。(Generalized Projection based M-estimator C++ code to find the robust estimate derived without using any user supplied scale. The theory is described in Generalized Projection Based M-stimator. )

实现了读取一个bmp图片的傅里叶变换 使用C语言实现 读取一个 24位 图 转换为8位灰度图后，进行傅里叶变换处理（二维） 采用快速傅里叶变换——蝶形算法 北航图像处理作业~需要进一步交流 请联系qq 422563357(Reads a bmp image to achieve a Fourier transform using C language Northern image processing operations)

Visual C++下的小波变换，小波分解与重构，加入噪声分析，显示分解和重构图形。(Wavelets for data encode and uncode, the figures would be shown.)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

说明：  mfc开发程序及经验，以工业相机采集系统为例进行了框架类的设计使其完成采集 存储 及图像的处理(mfc development process and experience with industrial camera acquisition system as an example of the framework class is designed to complete the acquisition and storage and image processing)

遥感图像的色彩变换 能从IHS转换到RGB 并能从RGB转换到HIS 效果比较好(Remote sensing images from the IHS color transform to the RGB and the conversion from RGB to HIS conversion effect is better)