内容

用OpenCV写的图象旋转和缩放的程序,适合初学计算机视觉的朋友-Written with OpenCV image rotation and scaling procedures, suitable for novice computer vision friend

关于对图片加噪声的操作（椒盐噪声），分别加椒噪声、盐噪声和椒盐噪声-With regard to the operation of the picture plus noise (salt & pepper noise), respectively, plus pepper noise, noise and salt, Salt & Pepper Noise

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

图像的快速傅立叶变换，基于VC++开发平台。-images of fast Fourier transform, based VC development platform.

Goodfectertotreck的实现-Goodfectertotreck opencv

This file contains a summary of what you will find in each of the files that make up your Tracker application.-This file contains a summary of what you wil l find in each of the files that make up your Track er application.

特征点提取方法--SIFT的简化后的算法-Feature point extraction method--SIFT algorithm of the simplified

labelmetool,用于手工图像分割，可以同时记录很多目标信息。通过lhi还可以下载很多图像库。-labelmetool, for manual image segmentation, can be recorded at the same time a lot of target information. Through lhi can also download a lot of image library.

dicom 的c#库，包含各种dicom 对象，vr,dataset等-dicom of the c#, dicom contains various objects, vr, dataset, etc.

本程序主要实现的是半自动的基于特征图像配准，在程序中，需要手工选取特征点，程序将自动寻找到相匹配的特征点，然后自动计算仿射变换参数，并将两幅图像进行拼接，合成一副图像-This procedure is mainly to achieve semi-automatic feature-based image registration, in the process, the need to manually select the feature points, the program will automatically find the matching feature points, and then automatically calculates the affine transformation parameters, and splicing two images , Synthesis of an Image