hl5

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)

非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。(Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point.)

一种点云数据的配准算法，可用于进一步的三维建模处理，配准效果良好。(One kind of point cloud data registration algorithm, three-dimensional modeling can be used for further processing, registration to good effect.)

Fast Discrete Curvelet Transform有正反变换,各个程序里面的参数都有详细的说明.(Fast Discrete Curvelet Transform are pros and transform, inside the various parameters have detailed explanations.)

直方图均衡化的实现，RGB直方图均衡化，直方图归一化。(Histogram equalization to achieve, RGB histogram equalization, histogram normalization.)

在C语言下成功实现读取并显示bmp格式的图像。(Successfully read and display BMP format images in C language.)

说明：  模板匹配的一个matlab实例，程序可读性好。(template matching a Matlab example, procedures readable.)

可以计算mtf，使用matlab输入图像即可实现计算(You can calculate MTF and use matlab to input images.)

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

该程序为离焦模糊参数识别的方法,通过canny算子检测边缘，用hough变换检测直线的方法求离焦半径。(The program for the defocus blur parameter identification method by canny operator edge detection using hough transform line detection method for the defocus radius.)