shibie

针对于三架飞机进行的异常检测的基础算法 RX异常检测(RX Anomaly Detection algorithm for anomaly detection based on three of the aircraft)

Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features

数字图像处理 哈里斯脚点检测算法实现 图形界面完全 先高斯滤波 在监测角点(image processing Harris coner dection GUssian filter)

这是用matlab编写的图像缩放代码，能实现灰度或者彩色图像的放大缩小以及小数倍。使图像处理初学者的好材料(This is used to prepare the image scaling matlab code, to achieve gray scale or color images and small many times zoom. Image processing to make a good material for beginners)

多种融合规则，基于contourlet变换的图像融合规则(multiple fusio rule for coefficient selection)

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.)

基于分数阶微分的图像增强技术，代码可以根据图像的梯度信息，更好地增强图像的高频部分，非线性地保留低频部分。(Fractional differential enhancement technology-based image code according to the gradient information of the image can better enhance the high frequency part of the image, to retain the low-frequency part of the non-linear.)

基于霍夫变换的直线检测，效果非常好，图片自己找，可能需要对图片格式做操作。(Line Detection Based on Hough Transform)

利用传统的SVM-HOG算法，进行行人检测(HOG-SVM algorithm for pedestrian detection)

这是一个实现各种颜色空间转换的程序，内含多种颜色之间的转换(this is a programme implementing color space transform,including many transforms of diffrent color spaces.)