这是对JEPG,GIF和BMP图像进行处理的一个VC程序，可以打开并实现一些处理。...

一个基于C++编写的程序，功能是进行图形图像的纹理分析-Based on the C++ Preparation procedure, function is the graphical image texture analysis

图像处理源码，包括很多图像处理的技巧，只是觉得缩放不太好用,WINDOWS /Linux system-cximage600_full

单人体图像中基于粒子群优化算法的人脸自适应裁剪-Single human image Based on Particle Swarm Optimization Adaptive Face cutting

利用Visual C++实现基于bmp图象抖动法算法 适合图象处理初学者-The use of Visual C++ Jitter-based image bmp image processing algorithm suitable for beginners

用photoshop制作的雕刻效果的详细步骤-Photoshop sculpture produced by the effect of the detailed steps

特征提取是变化检测中一个关键问题，角点的检测显得格外重要，vc＋＋角点检测源代码-feature extraction change detection is a key issue, corner detection is particularly important, Kok vc++ source code detection

图像处理中的浮雕效果图像，已经通过调试，可方便使用-Image Processing Emboss images, has passed debugging can be easy to use

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

文件中包含将车轮和cameraman图像进行动画演示，两者交替出现，可将颜色和交替时间等参数进行改动以达到个人的需求。-File contains the wheel and the cameraman images animated demo, alternating between the two may be the turn of time, such as color and changes the parameters in order to achieve the needs of individuals.

基于阀值的阈值分割：由灰度直方图可以看出谷值即是阀值，然后分割出来目标图像。-Based on the threshold of the threshold segmentation: histogram can be seen from the valley that is, threshold, and then divided by the target image.