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说明：  将VTK重建结果在MFC中显示，并有颜色与阀值设置。(VTK reconstruction results will be displayed in the MFC, and color threshold settings.)

现有大屏拼接技术性能参数对比，这是我上个月的调研内容，数据可信，对于要了解大屏拼接技术的人一定有帮助(Existing large-screen display technical performance parameters comparison, this is my last month s survey content, data credibility, for large-screen technology to understand who must have help)

支持向量机在小波包去噪方法中的应用，小波包分解和svm相结合(Support vector machines in wavelet packet denoising of wavelet packet decomposition and combination svm)

基于机器视觉，控制三自由度运动控制台来调整显微镜位置，通过图像处理得到易拉罐的表面刻痕大小和长度。(The software control the motion platform with 3 d.o.f. to position the microscope and then test the notch of cans using image processing.)

说明：  数字图像处理，图像亮度的增减，获得理想的结果，图像增强处理(Digital image processing, image brightness increases and decreases, to obtain the desired results, image enhancement processing)

WaterShed图像分割方法，使用C++来编写的程序，分割效果还不错，不过要用的话，自己还是要调一下的。(WaterShed image segmentation method, using C++ to write programs, segmentation results were pretty good, but use the words that he is still would like to stress the.)

VC++实现数字水印技术，在BMP位图中添加各种水印信息，程序分LSB和DWT嵌入方法。(VC++ implementation of digital watermarking technology, adding various watermarks in BMP bitmap, the program points LSB and DWT embedding methods.)

光栅图形学中的扫描填充算法。list<Line> AET和list<Line>* NET构成了活性边表和新边表.算法先初始化各扫描线新边表,之后对于每条扫描线更新活性边表，并且配对交点来着色。 (Raster graphics scanning fill algorithm. list <Line> AET list <Line>* NET constitute the active side of the table and side table new algorithm to initialize each scan line side table new, after each scan line update the active side of the table, and the the paired intersection of coloring.)

说明：  在大图中寻找到小图。 并圈出小图所在位置。 图片用picture控件显示。(In the big picture to find a small map. )

说明：  本文简要回顾了OpenCV的发展，介绍了OpenCV的各种应用，并详细分析了其中一些应用的原理、算法和代码，最后还介绍了一些关于OpenCV的最新研究进展。(This paper reviews the development of OpenCV, OpenCV introduces a variety of applications, and application of a detailed analysis of some of the principles, algorithms and code, and finally describes some of the latest research on the progress of OpenCV.)