Image_2D_interpolation

对学习独立成分分析和人脸识别的会很有用，希望对大家有所帮助！(Learning independent component analysis and face recognition will be very useful, and they hope to be helpful to everyone!)

This is my second lecture on 2D graphics, it covers Drivers, Modes, and APIs.

利用matlab软件仿真斜条纹和竖条纹的干涉图样(Software simulation using matlab interference pattern diagonal stripes)

2D转3D中的深度图生成模块，内部有图片例子。(depth map generation module, 2D to 3D)

用vc编写的一个多边形变换程序(vc prepared using a polygon transformation process)

输出的起点序号为0，终点序号为n-1 ">

包含用于条纹图像的旋转滤波、四步相移法程序和多频外差算法程序，用于光栅投影法的三维重建(Contains filter fringe image rotation, four-step phase shift method procedures and multi-frequency heterodyne algorithm for three-dimensional reconstruction of the grating projection)

对模糊变量进行随机化,并用高斯分布进行概率求解,无密码(To randomization of fuzzy variables, and probability to solve with the gaussian distribution, no password)

说明：  x射线的CT图像重建，内附data.mat为实际X射线拍到投影图像。(x-ray CT image reconstruction, the actual X-ray included data.mat photographed the projected image.)

建立几何畸变模型，实现畸变矫正。通过获取模板图像的坐标值，求取变换模型参数，求出变换多项式的系数。(IMAGECORRECT M-file for imageCorrect.fig IMAGECORRECT, by itself, creates a new IMAGECORRECT or raises the existing singleton*.)