GPSDREKF

用C语言实现位图格式的图像读取功能，可直接使用。(read BMP by C ,can be used directly.)

高效的文章分句算法程序,将由标点符号分开的语句的起始位置和结束位置记录到结构体里()

Brent算法为结合黄金分割法和抛物线法的一维搜索方法(one dimension search)

林健写的Matlab在图像处理与目标识别方面的应用实验，包括染色体识别与统计、汽车牌照定位与字符识别、基于BP神经网络识别字符的简单实验。 (Lam Kin Writing at the Matlab image processing and target recognition application experiments, including chromosome identification and statistics, vehicle license positioning and character recognition, based on BP neural network easy to identify characters in the experiment.)

图像处理 二值化 旋转 90 180 等，支持多种 图片(图像处理 二值化 旋转)

稀疏贝叶斯学习的代码，出自UCLA，大家可以下载看看(sparse bayesian learning)

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.)

主分量分析的源代码，附有简单的解释说明，主要对图像矩阵做降维处理，适用多幅图像的变化检测(Principal component analysis of the source code, a simple explanation, the main image matrix reducing dimension, suitable for image change detection)

图像的腐蚀、膨胀、开、闭运算。用菱形算子进行。(Image of erosion, dilation, opening and closing operation)

支持向量机的工具箱，对于图像处理中的分类识别学习者有着很大帮助。分享快乐！(SVM toolbox for image processing in the classification and identification of learners have a great help to me. To share their happiness!)