使用vc编写的一个harris角点检测程序 希望有用 没有解压密码...

图像融合工具箱，包括线性方法，非线性方法，多分辨率方法等-The image fusion toolbox comes as a set of matlab m-file functions

可以输出人脸的PCA算法，在matlab中测试过，效果不错-Can output face PCA algorithm in matlab tested, good results

很好的图象缩放代码,不会有矩尺,可以移植到任何平台-Very good image scaling code, will not have moments feet, you can migrate to any platform

包含图像的DCT变换，方块编码，直方图均衡，维也纳滤波等28种基础处理，用VC实现，包含测试图像，比较有实用价值-Contains images of DCT transform, box codes, histogram equalization, Vienna filtering based on 28 kinds of treatment, using VC realize, including the test images, comparison has practical value

来源于网上的C++技术开发的图形处理代码, 为国外开源代码, 可用来学习掌握C++的图形处理算法。来源于网上公开资料，供学习使用。-From online C++ Graphics technology development deal with code, for foreign open-source code, can be used to study and master the C++ Graphics processing algorithms. Disclosure of information from the Internet for learning to use.

视频人脸跟踪识别算法研究 硕士论文 -Video face recognition algorithm to track a master

图像的几何变换的相关算法：垂直与水平镜像，图像的缩放与旋转等-Geometric transform correlation algorithm: vertical and horizontal image, image scaling and rotation, etc.

能够实现单目标图像的边界跟踪，图像为位图文件（.bmp)文件，并把边界跟踪的动态效果展示了出来。-Able to realize the borders of a single target image tracking, image as a bitmap file (. Bmp) files, and to track the dynamic effects of the border showed up.

这个是彩色图像分割方法。与RegionExtract采用的方法不同。 首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space.

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