DR_LDA

说明：  基于Haar+AdaBoost+bdd100k数据集做车辆识别(Vehicle recognition based on Haar + AdaBoost + bdd100k dataset)

matlab实现的直线检测方法，主要为hough变换，包括图片及实验结果(Matlab implementation of the line detection method, mainly for the Hough transform, including pictures and experimental results)

二维地震信号的emd实现，逐道分解，挑选信号主导分量(EMD realization of two-dimensional seismic signal, decomposition by channel, selection of signal dominant component)

图像处理c源码_功能是打开一幅位图_并显示在屏幕上(_ C source image processing function is to open a bitmap _ and displayed on the screen)

说明：  可对lytro相机所得到的光场图像进行各种处理(The light field image obtained by lytro camera can be processed in various ways.)

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.)

多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

图像格式转换例程源码，程序主要结合易语言图像格式转换支持库，可以将某些图象文件的格式转换到其它图象文件的格式(Image format conversion routines source, the program mainly with easy language support library image format conversion , you can convert some of the image file format to other image file format)

一个很强大的图形计算处理软件，包括图像聚类，矩阵计算等(Scotch is a software package for graph and mesh/hypergraph partitioning, graph clustering, and sparse matrix ordering )