小波边缘检测

这个是图像处理中的hough变换的C++源代码，工需要的同学参考学习。(This is the image processing hough transform C++ source code, engineering students need to learn.)

一些使用支持矢量机进行图像分割的算法，以及相关的文献资料，打包下载的好东西哦(Some use support vector machine algorithm for image segmentation, and related literature, package download a good thing)

NCUT切割，对源码进行了改进，改进后取消了只能压缩到160*160才能切割的限制(NCUT cutting, source code improvements, improved to cancel restrictions can only be compressed to 160* 160 to cut)

广义高斯概率分布函数的指数估计，包括矩估计和最大似然估计，并对这两种估计进行了比较(exponential cosfficients estimation for generalized Gaussian pdf，include moment estimator and Maximum Likehood estimator. )

说明：  （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等； （2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）； （3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）； （4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc; (2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item); (3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points); (4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.)

傅里叶变换及其逆变换的基于VC6.0实现(Fourier transform and its inverse transform)

任务：用BFS或是DFS对图进行搜索，实现任何拓扑不连通的块的计算，算法要求写在CBFSSearch类中 工程名：Project_BFS 要求：对于生成的任意拓扑，求出其分枝个数，并输出每个分枝的节点 (Task: Using BFS or DFS for searching the graph to achieve any topology unconnected blocks calculation algorithm requires written in CBFSSearch class project name: Project_BFS Requirements: for generating arbitrary topology, find the number of its branches, and output node of each branch)

自己编写的关于2013年的文章 a variational method for multi-source remote-sensing image fusion 的程序，基本实现了相关功能。(I have written a progrma about a variational method for multi-source remote-sensing image fusion publish in 2013,and the basic functions of the problems have been solved.)

说明：  利用BOW结合空间金字塔模型，使用支持向量机进行图像分类(Image classification using bow)

非常好的程序，能够对视频中移动目标进行跟踪(failed to translate)