117143213GS_2D

把一副画转化为由彩色字符（8个字符）组成的画。最简单、实用、绿色的软件！！！　　　　提供VB源代码！！！ (The grounds of color into a painting of characters (eight characters), composed of paintings. The most simple, practical, green software! ! ! VB source code provided! ! !)

说明：  UTILITEUR VASP POUR LE CALCUL DES PHONONS

Read one DICOM file with vtk bib

总体最小二乘法的谐波恢复总体最小二乘法的谐波恢复

衍射光学光束整形元件设计 目标：在透镜后焦面上实现图形的光强分布 实现： 1、波长、衍射光学元件口径、形状、入射波前、二维目标分布及尺寸等都可自行设定； 2、对相位进行8台阶量化，重新计算； 3、更换输出面的采样间隔，重新计算。(Design of Diffraction Optical Beam Shaping Element Objective: To realize the intensity distribution of the pattern on the focal plane behind the lens. Realization: 1. Wavelength, aperture, shape, incident wavefront, two-dimensional target distribution and size of diffractive optical elements can be set by themselves. 2. The phase is quantized by 8 steps and recalculated. 3. Replace the sampling interval of the output surface and recalculate it.)

应用opencv进行图像处理，改变基sobel算子操作，有利于开展下面的图像处理(Applying OpenCV to image processing and changing the operation of base Sobel operator is beneficial to the following image processing)

计算img文件夹内所有图像之间的相似度，并根据相似度排序，呈现每个图片的最相似图片结果(calculate the image similarity of each pic in img filedir)

说明：  计算两幅图像的多尺度结构相似性MS-SSIM(compute the MS-SSIM of two images)

一幅真彩色图像的小波去噪方法实例。通过对一幅真彩色图像的RGB三个方面分别处理，把处理后的结果结合得到。(A true color image examples of wavelet denoising method. Through a true color image of the RGB three aspects dealt with separately, the results of the combination to be processed.)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)