Retinex+CLAHE

lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。(lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.)

SCPI语言及微机控制测量仪器编程,主要介绍scpi一些具体命令，说明及其实现。(SCPI language programming and computer controlled measuring instruments)

自动检测遥感影像上的阴影区域，并将阴影区域去掉。(Automatically detect the shadow area on the remote sensing image and remove the shadow area.)

Image Filtering RGB Spatial Wiener Direct Inverse Discrete Fourier Transform DFT Lucy Richardson Median Laplacian (Image Filtering RGB Direct Spatial Wiener Inverse Discrete Fourier Transform DFT Lucy Ri chardson Median Laplacian)

用hough变换提取直线的C++代码，效果比较好，可以灵活改变可提取直线的条数，适用于提取多条直线。(line detecting using hough tranaformation)

Matlab图像处理中的Harris角点提取算法， 代码中有详细的解说，方便阅读。 (Matlab Image Processing of Harris corner extraction algorithm, the code has a detailed explanation, easy reading.)

说明：  本程序提出了变步长自适应滤波算法的步长调整原则:即在初始收敛阶段或未知系统参数发生变化时,步长应比较大,以便有较快的收 敛速度和对时变系统的跟踪速度 而在算法收敛后,不管主输入端干扰信号v ( n) 有多大,都应保持很小的调整步长以达到很小的稳态失调噪声. 根据变步长公式编的程序，很有参考价值. (This procedure, a variable step adaptive filter algorithm step adjustment principle: that in the initial convergence phase or unknown system parameters change, the steps should be relatively large in order to have fast convergence speed and time-varying systems tracking speed in convergence, no matter the main input interference signal v (n) how much should be adjusted to maintain a small step to achieve a small steady state misadjustment noise. compiled according to the formula variable step procedure useful reference.)

一篇介绍粒子滤波的资料，介绍的很详细，适合研究粒子滤波的初学者，希望对大家有帮助(Introduce a particle filter information on the very detailed study of particle filter is suitable for beginners)

很好用的图像分割方法，大家可以试一下，我运行过了(Very good segmentation method, very useful, you can have a try, I used the effect is very good)

说明：  将基于小波变换的水印嵌入后的宿主图像加噪处理再提取灰度水印。(will be based on the wavelet transform the watermark embedded in the host Image Noise from Gray again watermark.)