rat

旁瓣消隐技术在雷达中的应用,包括旁瓣消隐技术的解释(something for slb)

说明：  这是一个图像配准的MATLAB代码，有很好的GUI界面，以像素级进行配准。(The image matching MATLAB code is based on pixel with a good GHI.)

基于pcnn的图像融合及其相关的评价指标和融合结果(Image Fusion Based on PCNN， and Relevant uation index and the fusion results)

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)

基于LSB的隐写算法，以及基于猫脸变换的图像隐写改进算法。(The steganography algorithm based on LSB and the image steganography based on cat face transform.)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

基于整数小波变换的图像可逆水印，很好用，可逆性很强，自己查找的资料(Image reversible watermarking based on integer wavelet transform is very useful. It has strong reversibility and finds information by itself.)

说明：  遥感信息工程学院遥感原理与应用课程实习植被指数(Vegetation Index of Remote Sensing Principle and Application Course Practice)

基于颜色特征的图像检索系统，，做 了GUI节目，直观(Color-based Image Retrieval System, made a GUI program, intuitive)