FBP

说明：  计算机图形学基本算法 DDA直线 中点直线 BRESEMHAM圆 正负法圆 B样条曲线 B曲线 (DDA line algorithm for computer graphics, the midpoint of the basic straight-line method BRESEMHAM circle round the positive and negative B-spline curve B curve)

实现图像中细胞的提取，并计算出细胞与核仁面积之比的可视化程序(Extraction of cells in the image, and calculate the cells with nucleolar area ratio of the visualization program)

图像去雾c++版源代码，实现效果还不错，可直接运行。(Fog to remove the c++ version of the source code, the effect is not bad, can be run directly.)

基于opencv的Kinect深度图像的去噪，滤波(Opencv based Kinect depth image denoising, filtering)

数字图像处理和图像识别的vc++编程方法(Digital image processing and image recognition of the vc++ Programming)

图形裁剪，实现对画的线，多边形，交点进行剪裁，实现图形的规范化(Graphic cutting, to achieve the painting line, polygon, tailoring intersection, graphics standardization)

说明：  LSA的第一步是要去创建词到标题（文档）的矩阵。在这个矩阵里，每一个索引词占据了一行，每一个标题占据一列。每一个单元（cell）包含了这个词出现在那个标题中的次数。例如，词”book”出现在T3中一次，出现在T4中一次，而”investing”在所有标题中都出现了一次。一般来说，在LSA中的矩阵会非常大而且会非常稀疏（大部分的单元都是0）。这是因为每个标题或者文档一般只包含所有词汇的一小部分。更复杂的LSA算法会利用这种稀疏性去改善空间和时间复杂度。(The Little Book of Common SenseInvesting: The Only Way to Guarantee Your Fair Share of StockMarket Returns ,)

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)

数字图像处理编程入门（吕风军）第一章第1章 Windows位图和调色板(Windows Bitmap and palette of the first chapter, Chapter 1 of the digital image processing program entry (Lv Fengjun))

《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)