对一维信号的消噪程序与处理图像，一个简单实用的matlab例程

一个的条形码识别程序，可直接运行。可识别多种规格的条形码。功能有，打开文件，识别，上一条文件，下一条文件。-a bar code identification procedures, can run. Identifiable variety of bar code specifications. Function, open files, identification, on a document, under one document.

基于matlab编写的摄像机定标源代码，希望对大家又有-Prepared based on the matlab source code for camera calibration, and they hope to have everyone

VC6.0写的图像处理基本类函数 整理的比较全面 可以直接调用的-VC6.0 write basic image processing functions of a more comprehensive collation can directly call

本程序用VC实现Harris角点检测的算法，浅显易懂，便于操作。-This procedure VC realize with Harris corner detection algorithm, easy to understand and easy to operate.

图象转换的程序。。C++编写。。。VC环境-image conversion process. . C preparation. . . VC environment.

三维立体图像方面，用Visual Basic实现图像处理的源程序-Three-dimensional images, using Visual Basic realize image processing source code

许多应用PET 与fMRI 技术的脑功能成像研究发现,数字加工任务会显著引起前运动皮质的激活。习惯上认为,这一 结果可能与任务执行过程中的动作反应,如手指按键、默读或眼动等有关。近年来的研究则表明,这一区域不仅具有动作功能, 同时也具有其它非动作的认知功能。在本研究中,对17 篇关于数字加工的脑功能成像研究进行了元分析,以考察前运动皮质在 数字加工中的作用。研究结果发现,运动前区的背外侧( PMd) 与腹外侧( PMv) 在大多数数字加工任务中有显著激活,而运动辅 助区(SMA) 的激活则相对较少。数字比较、加法与减法任务在PMd 区域有更多的激活,而乘法任务则在PMv 区域有更多激活。 数字自身特征对PMd、PMv 与SMA 喙部区域的激活有显著的调节作用。这一结果表明,前运动皮质在数字加工过程中可能扮 演着比动作反应更为重要的角色。-Many applications, PET and fMRI brain imaging technology study found that a significant number processing tasks are likely to cause the activation of premotor cortex. Customary to believe that the The results may be related to task execution in the process of movement reaction, such as the finger buttons, silent reading, or other related eye movements. In recent years, studies suggest that this region not only motor function, At the same time also has other non-cognitive action. In this study, pairs of 17 on digital processing of functional imaging studies of brain meta-analysis to examine pre-mot

仿射变换法求深度信息，目前最好的方法 function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im) gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。 函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是Wash分析-for image processing, have been tested, the very practical, The main source of analysis Wash.