BITMAP images all show the entire intelligence BYTE

最常用的图像处理函数集合，采用类的形式整理出来，包括读写等等 -The most commonly used image processing function of the collection, collation used by the form of categories, including reading and writing, etc.

模式识别的一些预处理知识源程序，初学者在编制程序时可以参考- Two programs are included in this directory: STK2RAS takes a stroke file as input and converts it into a bit-per-pixel representation (along with some header information, see RASHEADR.H). The output of the STK2RAS program is a .RAS file. The GRID1 program found in this directory is a PM program which takes a .RAS file as input and displays the image. Notice that the GRID1 program uses run length compression. See class RLCX to scale the image.

把图像处理的MATALAB程序转化为C++程序-put image processing procedures into MATLAB C Program

将图片从BMP格式转换为JPG格式-Pictures from the BMP format is converted to JPG format

在H.264标准中，要求视频图像处理中环路滤波的C程序-the H.264 standard, called Video Image Processing loop filter C Program

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

基于复杂背景的人体手势识别，以及对它的鲁棒性的测试-Based on complex background of human gesture recognition, as well as its robustness test

用C++实现的OTSU大津阈值分割方法，使用的是图像的全局阈值-With C++ Realize the OTSU Otsu threshold segmentation method, using images of the overall threshold

边沿检测与提取，轮廓跟踪算法代码vc-edge detection

盲嵌入和线性相关检测，数字水印，例子只嵌入1比特信息来说明-Blind embedding and linear correlation detection, digital watermarking, for example, embedding only one bit of information to illustrate