SSIM

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.)

自己编写的C++小程序，十字算法，用到KD树，能够有效进行点云去噪，压缩数据(I have written a small program C++, cross algorithm used in KD tree, the point cloud can be effectively de-noising, compression of data)

提取并显示鼠标所在图像点的颜色，C++精选学习源码，很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)

Space structure with static analysis % elastic beam element space structure with static analysis, elastic beam element

DEM数据处理，有贴纹理及漫游程序，自己在其他网上下载的 希望对做三维的朋友有所帮助(DEM data processing, has the stick texture and roaming)

图像的相关系数是衡量两幅图像的相关程度的，本代码直接通过选定区域计算出相关系数！(image correlation coefficient is a measure of two images of the code directly through selected regional correlation coefficient calculated!)

基于SVM与人工神经网络的车牌识别算法，使用了OpenCV的图像处理函数，在VS2013 + OpenCV 2.4.9平台上实现(SVM algorithm based on license plate recognition and artificial neural network, using OpenCV image processing function, implemented on VS2013+ OpenCV 2.4.9 platform)

能够检测椭圆，并且在已知摄像机安装高度和倾角的情况下实现单目测距，代码能够运行(Ellipse can be detected, and the camera installation height and in the case of the known inclination to achieve monocular ranging code to run)

convert bmp to rgb565(algorithm to handle all kinds of bmp to rgb565)

说明：  由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩 色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。这种算法也是在图像的灰度尺度空间上检测特征点, 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算。(SIFT)