3次样条插值的c++实现 主要针对图形应用而写，对函数已经给出详细的注释，只需要按照插值过程调用函数即可

作图的一个小软件，其实就是涂鸦板！-Mapping of a small software is, in fact, graffiti board!

AffineTransformation computes and applies the geometric affine transformation to a 2-D image. The program main functions are: - Load Image: Load the image to be transformed. - Transform Image: Computes the transformation matrix from the transformation parameters specified by the user, then it applies the transformation to the loaded image. - Save Image: Save the transformed image. - Quit: Exit the program. The transformation parameters are specified by the user by editing the values of the rotation, scale (x and y), and shear (x and y). The translation is not icluded because it can be easily (normalized or) removed from the image by subtracting the shape cetroid. The affine matrix and the affinr transformation are computed using Matlab Image Processing Toolbox functions: maketform and imtransform. So this program is only demonstrates and facilitates the computation and the applying of these functions to a 2-D image.

手写数字识别之模板匹配法 识别手写数字-Handwritten numeral recognition template matching of handwritten numeral recognition

拉普拉斯锐化（边缘检测）,在readme.txt里有详细的使用说明-Laplacian sharpening (edge detection), the readme.txt are detailed usage

利用hough变换来进行圆形检测.Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin of coordinate system.-Using hough transform for circle detection. Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. Upper left corner of image is the origin of coordinate system.

一个dxf输出dxf12的例子-an example of the output dxf12

二维图形中扫描线填充算法，本程序根据鼠标左键选择图形每个顶点，用右键闭合图形，然后填充-2D scanning fill algorithm, the procedures under the left mouse button to choose graphics for each vertex, right-Closed graphics, then filled

VTK三维医学实现，一个简单的例子，主要是从VTK开发包里修改的来的。-VTK medical realize three-dimensional, a simple example, primarily from the VTK development changes to the bag.

免费的OCR SDK！市面上唯一免费的OCR SDK，可用于您的项目中，只要附上版权宣告就行了。带有Delphi/C#范例。-Free OCR SDK! The only available free OCR SDK, available for your project, as long as the attached Copyright Notices on the list. With Delphi/C# Example.

局部二元模式（LBP）是一种用于在计算机视觉分类功能。 LBP是特定情况在1990年[1] [2] LBP于1994年首先描述[3] [4]它提出的纹理谱模型由于被认为是一个强大的功能的纹理分类;它已经进一步确定，当LBP是结合定向梯度直方图（HOG）的描述符，它提高了检测性能相当一些数据集。该LBP特征向量，在其最简单的形式中，通过以下方式创建的：划分检测窗口进入细胞（例如16×16像素的每个单元格）。用于在小区中的每个像素，比较像素到它的每一个8邻居（在它的左顶，左中间，左底部右顶部，等等）。跟随一个圆，即顺时针或逆时针的像素。其中，中心像素的值大于邻居的值，写入“1”。否则，写“0”。这使一个8位二进制数（通常是转换为十进制为方便起见）。计算的每个“号码”中出现的频率的直方图，在细胞内，（即，对每个组合哪些像素是较小的，哪些是大于该中心）。任选正常化直方图。串联所有细胞（归）直方图。这给出了窗口的特征向量。特征向量现在可以使用支持向量机或其他机器学习处理算法进行分类的图像。这样的分类可以用于人脸识别或纹理分析。