3DAni

一个分形维的代码，用差分盒维计算图像的分形维值！还不错！(a fractal dimension of the code, with the difference box dimension calculations images of fractal dimension values! Also good!)

基于OpenCV的hough变换检测图像直线,本代码能够识别焊缝跟踪功能。(OpenCV based hough transform to detect linear image, the code can identify seam tracking.)

利用高速摄影仪记录了不同液滴撞击固体表面的形态变化过程，并探讨了液滴撞击参数撞击过程液滴形态的影响。(The processes of different droplets impacting the solid surface are recorded using a high-speed digital came and the effects of the impact parameters on the droplet impact are studied.)

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)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，学习非常值得(The interface graphics with input and output functions designed by GUI of MATLAB have strong visibility and worth learning.)

特征提取，主要是灰度共生矩阵和不变矩特征提取的程序，openCV下可直接运行(Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV)

s世界计算机视觉三大会议之CVPR会议，中国人发表的经典立体匹配的论文(s World Computer Vision Conference CVPR three meetings, the Chinese classic stereo matching published papers)

三维图像重建,采用多种滤波方法，实现三维图像重建，该算法效率比较高。目前已经应用到实际工程。(3-dim picture recreat,use filter method and project method to realise the recreating of 3 dim picture.it is a very effective method ,applied in the project.so I share it with you . )

这是一个阈值分割的小例子，利用阈值分割把原始图片转化为二值图像和灰度图像。(This is a small example of a threshold segmentation using thresholding the original image is converted to binary and grayscale images.)

openCV中文版 附目录 本书主要介绍: 1.透彻介绍OpenCV 2.从摄像机获取输入 3.图像的变换 4.图像的分割和形状的匹配 5.模式识别，包括人脸检测 6.二维和三维场景中的跟踪监测 7.根据立体视觉进行三维重构 8.机器学习算法(the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm)