matlab-code-based-image-retrieval

说明：  使用matlab工具箱进行的图像配准，需提取特征点来实现配准(Using matlab toolbox for image registration, extraction of feature points needed to achieve alignment)

像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)

本代码是完成傅里叶梅林变换对图像的旋转剪切。没有嵌入水印。(The code is complete Fourier Mellin transform of the image rotation shear. No embedded watermark.)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

KLT point match:Detection and Tracking of Point Features.

基于HOUGH变换的车道线检测和识别的程序，可以使用(Lane HOUGH transform detection and recognition based on the program, you can use)

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!)

能实现VFW编程，调用本地视频设备，实现视频捕捉和RGB-YUV颜色空间转换。 (To achieve VFW programming, call the local video equipment, the implementation of video capture and RGB-YUV color space conversion.)

去雾算法halcon代码实现

目标分类（流形学习slle+支持向量机svm）(Target classification (manifold learning slle+ support vector machine svm))