gauss-gamma窗函数

这是我和我的朋友们总结的立体视觉匹配算法的教学ppt，希望有用(This is me and my friends summed teaching ppt stereo matching algorithm, hope useful)

计算图像的平均梯度，边缘强度，信息熵以及方差，图像质量评价(The average gradient calculation image, edge strength, entropy and variance, image quality assessment)

介绍图像处理技在AMD上的GPU的处理方案，加速高清，快速度(The processing scheme, image processing technology on AMD GPU accelerated HD, speed)

多尺度的光谱图像分割，有对应的论文和matlab及c++代码(Multiscale spectral image segmentation, there are papers and the corresponding matlab and c++ code)

说明：  任意简单多边形中轴算法，使用MATLAB实现~~别看资料，看代码(Arbitrary axis algorithm for simple polygon, the use of MATLAB data to achieve ~ ~ Do not see the code)

说明：  联合特征选择和子空间相关性学习的跨模态检索，map优于典型相关性分析的跨模态检索(Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval)

基于DCT域的数字水印算法主要包括水印调制、水印嵌入和水印提取，首先在嵌入载体图像之前用Logistic混沌序列对水印进行调制，得到一个只有+1和-1随机序列的水印，同时将载体图像进行全局DCT变换，然后将水印图像嵌入人类视觉系统最重要的部分，即DCT最大的系数，DC（Direct Current）部分也包含在这最大的系数中，这部分的系数满足人类视觉特性，会使水印嵌入的性能更好。嵌入算法是将水印与这些系数进行相乘获得新的系数，再用新的系数来替换原来的系数，即获得嵌入水印后的离散余弦域的图像，然后对这个变换后的图像进行IDCT，就会得到需要的水印图像。(While the carrier image digital watermarking algorithm based on DCT domain include watermark modulation, watermark embedding and watermark extraction, the first of the watermark embedded in a carrier modulated image before using Logistic chaotic sequence, only+1 and-1 to get a random sequence of watermark, Global DCT transform, then the watermark image is embedded most important part of the human visual system, i.e. the largest DCT coefficients, DC (Direct Current) in this section also contains the largest coefficient, the coefficient of this part of the human visual characteristics to meet, make watermarks Embed better performance. The watermark embedding algorithm is with these coefficients are multiplied to obtain new coefficients, and then a new factor to replace the original coefficients, namely discrete cosine domain to obtain an image watermarked and then transformed the image of this conduct IDCT, on watermark image will be needed.)

sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)

MATLAB图像处理，直方图均衡和一些基本的滤波器（包括中值滤波器）。(MATLAB image processing, histogram equalization, and some basic filters.)

meanshift算法的python实现 + 图像化显示(meanshift with python)