采用了sobel、Log算子完成对图像进行边缘检测的功能

最小二乘匹配，图像匹配算法，需要初始匹配坐标，可以达到亚像素精度-least squares matching, image matching algorithm, the initial need to match coordinates, can reach sub-pixel accuracy

C++编写的医学用的细胞识别统计系统,可以腐蚀膨胀,平滑,最后统计出细胞个数.

图像边缘检测及颜色发现，如果你正在学习边缘检测的阈值，那么这些程序对你是有用的。-Color Image Edge Detection and found that if you are learning to edge detection threshold, then these procedures are useful to you.

这个程序是用vtk开发的读jpeg图片的源程序-This procedure is used to develop reading VTK jpeg image source

此程序实现的是对一幅图像进行卡尔曼滤波实现多天线时变信道下基于卡尔曼滤波跟踪的数字图像通信系统仿真-Realize this procedure is the image of a Kalman filter to achieve multi-antenna time-varying channel tracking based on Kalman filtering of digital image communication system simulation

稿件名称：Visual C++.Net中基于ADO的数据库图像输入方法 稿件作者：王亚民 程序名称：Resource.h 运行环境：VC++.NET、SQL Serve 2000、WindowsXP 注意事项：

一种改进的SIFT双向匹配算法，sift是经典的旋转不变特征提取算法，本文对其匹配方式进行了改进-An improved two-way matching SIFT algorithm, sift the classic rotation invariant feature extraction algorithm, this method has been improved to its matching

用计算机进行数字图像处理，使用matlab环境，对图像进行增强，平滑与锐化，分割，变换，压缩与编码，是平常实验的好选择。-Using computer digital image processing, the use of matlab environment, enhance the image, smoothing and sharpening, segmentation, transform, compression and encoding, is usually a good choice experiment.

一个图像查看程序的例子，用 Visual Studio 2005 开发，使用的是 Visual Studio 2005 自带的 BMP 类，可以进行格式转换。-An image to view examples of the procedure, using Visual Studio 2005 development, using Visual Studio 2005 built-in BMP category, format conversion can be carried out.

实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。-a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.