Harris-SURF

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)

drfi图像显著性检测算法源码,基本上是目前表现最好的算法，需要m和c混合编程(source code of DRFI model)

说明：  一個包含完整繪製 CIE Chromaticity Diagrams 的程式, 包含支援 CIE Standard Observer, Color Mstching Functions, 及 CIE 1931, CIE 1960, CIE 1976 等格式.(contains a complete CIE PLL Diagrams mapping programs, including support CIE Standard Observer, Color Mstching Functions, and the CIE 1931, the CIE 1960, the CIE 1976 formats.)

车牌识别，图像分割出车牌，然后进行具体识别，matlab源代码(vehicle license plate recognition)

压缩感知重建算法,利用压缩感知理论实现用较少的采样量恢复出高分辨率的图像信息(compressive sensing reconstruction algoriyhm)

解决一些图像处理的小问题，具体的划分和问题，文件里有提到(Solve some small problems in image processing)

phase congruency相位一致性计算，可以用于提取图像的特征，如边缘、角点等。(calculation of phase congruency phase coherence, can be used to extract image features, such as edge, corner points.)

1.图像去噪MATLAB仿真程序.m 2.图像点扩展函数获取MATLAB仿真程序.m 3.约束最小二乘法图像复原MATLAB仿真程序.m(1.the simulation of denoise. 2.the method to get psf. 3.controlled least squre method to deblur image.)

基于像素点的全局阈值法求图像的分割 实现方法有五种： 最小极值法，最优阈值法，最大方差方法，最大熵法，迭代法(Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum entropy method, iterative method)