mask-code

基于最优小波包的特征提取 大家可以参考 基于最优小波包的特征提取 大家可以参考基于最优小波包的特征提取 大家可以参考(Based on best wavelet packet feature extraction we can refer to based on best wavelet packet feature extraction we can we can refer to reference based on best wavelet packet feature extraction)

stanfod大学一个博士编写的PS_INSAR处理程序，fr(University stanfod prepared by Dr. PS_INSAR a process, fr)

Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。(Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.)

直方图均衡化的几个改进算法程序：BBHE,DSIHE,MMBEBHE(Several improvements histogram equalization algorithm: BBHE, DSIHE, MMBEBHE)

利用MATLAB自带的两幅RGB彩色图像根据对图像互相关性的分析进行图像配准。(Using two RGB color images MATLAB, image registration is performed based on the analysis of image crosstalk.)

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

图像分割，双峰法.显示直方图，根据直方图确定阈值，并根据次阈值进行图像的风格(segmation)

人脸图像配准，将同一场景的两幅或多幅图像进行对准，可以实现人脸归一化(Face image registration, the same scene two or more images for the alignment can be achieved face normalization)

自适应光学仿真软件，希望对大家由帮助！我还没有弄明白原理，希望一起学习(Adaptive optics simulation software, I hope all of you by the help! I have not understood the principle, I hope to learn)

基于暗通道先验理论的去雾算法，使用rgb暗通道计算大气光及透射率获得去雾图像(Since the scene radiance is usually not as bright as the atmospheric light, the image after haze removal looks dim. So we increase the exposure of J(x) for display.)