pca

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.)

基于adaboost的人脸检测算法，对于初学者来说用很大的帮助(Adaboost-based face detection algorithm for beginners great help)

实现图像的旋转，根据旋转矩阵进行旋转,并对结果进行调整(rotate picture)

基于互信息的图像配准源代码，，采用粒子群优化算法可直接使用。 (Based on mutual information image registration source code, using particle swarm optimization algorithm can be used directly.)

说明：  在对多光谱遥感影像进行大气校正处理以后，可以利用K_T变换矩阵对其进行水体提取，该算法效果较好(After the atmospheric correction of the multispectral remote sensing image, the water body can be extracted by using the k transform matrix, and the effect of the algorithm is good.)

基于MATLAB的图像配准算法（高斯金字塔与其他几个算法）(MATLAB-based image registration algorithm (Gaussian pyramid with several other algorithms))

图像分割方法中有关感兴趣区域处理的程序代码(Image segmentation method for region of interest processing code)

通过循环去多个种子点实现基于区域生长的图像分割(Achieve image segmentation based on region growing cycle to go through multiple seed points)

说明：  calibration摄像机镜头的校正程序(calibration Calibration camera lens calibration procedure)

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