hongmo2

此代码通过OBMC(重叠块运动补偿)实现了视频插帧运算。利用已有的运动向量和前后两帧图像，通过OBMC算法，求出中间内插帧(This video frame interpolation operator code OBMC (overlapped block motion compensation). Using the existing motion vectors and two of front and rear image is obtained through the the OBMC algorithm, intermediate interpolated frame)

模糊聚类分割主函数及demo，直接运行就行，当然要有图片，呵呵(Main functions and fuzzy clustering segmentation demo, run directly on the line, of course, have pictures, Oh)

HOG（方向梯度直方图）图像特征提取，以lena图像作为示例(HOG (Histogram of Oriented Gradients) image feature extraction, image as an example to lena)

说明：  MATLAB开发接收串口数据并实时将其转化为图形显示(MATLAB Develops and Receives Serial Port Data and Converts it into Graphic Display in Real Time)

基于snake模型的图像分割.Matlab 源程序(Snake model based on image segmentation. Matlab source code)

稀疏表示中字典学习算法KSVD的实现，可以得到冗余字典，代码内部有详细注释(The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation

使用Visual C++编写的生成三次Hermite曲线的源代码。(Bicubic Hermite code in Visual C++.)

可利用哈夫变换法在变换域提取直线，利用g共线和直线相交的关系，使直线提取问题转化为计数问题()