graphcuts

说明：  此算法可以实现任意两个图像的配准（整体平移） (This algorithm can achieve any two image registration (the overall translation))

说明：  通过拟合出一条曲线，对这个曲线进行结构函数法的分形维数计算，得到其粗糙度(By fitting a curve, the fractal dimension of the curve is calculated by structural function method, and its roughness is obtained)

说明：  该代码的主要功能是图像边缘检测，利用霍夫变换确定圆的位置，并进行缺陷定位着色等操作(The main function of the code is image edge detection, using HOF transform to determine the location of the circle, and the location of defects such as coloring operations)

一段车牌分割的matlab程序 可以实现车牌的定位分割, 希望大家讨论(a division of Matlab registration procedures can be achieved by positioning plates segmentation, we hope that the discussion)

tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号(The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, through the development of signal sparsity, in conditions far less than the Nyquist sampling rate, using random sampling for discrete samples of the signal, and then through the non-linear reconstruction algorithm perfect reconstructed signal)

矩阵卷积的几种版本：conv函数，矩阵乘法形式，纯矩阵乘法形式(Several versions of matrix convolution: convolutional vision, matrix vision, only-matrix vision)

该程序利用MATLAB语言计算本质矩阵和基本矩阵，其中有用到ransac八点算法(The program utilizes the MATLAB language, the nature of the matrix and the fundamental matrix, which is useful to ransac eight algorithms)

数字图像处理，冈萨雷斯，Matlab版，第四章，输入命令，以及图像，运行时只需修改图像地址即可(Digital Image Processing, Gonzalez, Matlab, Chapter IV, enter the command, as well as images, run-time only to modify the image address to)

Assembly code for interfacing a 7segment that display a random Letters.

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)