SupResolDemo

获取图像灰度共生矩阵特征值代码，包括能量、熵、惯性矩和相关度的均值和标准差，已测试，代码及注释清晰。(The eigenvalue codes of gray level co-occurrence matrix, including the mean and standard deviation of energy, entropy, moment of inertia and correlation, have been tested and the codes and annotations are clear.)

MAD相似性度量准则的改进，实现模板匹配程序(MAD similarity measurement criteria to improve and achieve template matching procedures)

说明：  为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立 强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方 向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和 边缘保持能力. (In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges.)

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)

说明：  实现了图像的打开功能，并能实现图像打开时的扫描，渐进，马赛克等功能(To realize the image of the open function, and can achieve image scans open, progressive, mosaic and other functions)

利用matlabde实现双目立体视觉中，对应图像对的深度信息的获取 （区域匹配算法实现）。(Use of matlab binocular stereo vision, corresponding to the depth of the image information )

very useful toolbox for the matlab user

去模糊的算法，有MIT做的，参考文献是siggraph06的文章，效果很好(Go fuzzy algorithms, MIT has to do the references are siggraph06 the article, very good)

我自己做的一个bmp文件进行24位真彩转256灰度和二进制的程序，并能用sobel算法，识别物体的边界。 (I myself make a bmp file for 24-bit true color to 256 gray-scale and binary procedures and sobel algorithm can be used to identify object boundaries.)

说明：  利用小波进行边缘提取，比较各种小波核函数的能力，体会“数学显微镜”的妙用，例子：车牌定位。(using wavelet edge detection, comparison of different wavelet function of the nuclear capability and experience "math microscope," the magic examples : positioning plates.)