frft2

实现了图像的rgb格式与lab格式的互相转化，方便大家在lab空间中处理图像(Achieved rgb image format and transform lab format to facilitate processing in the lab space images)

VisualC++数字图像处理技术详解第2版光盘-第二章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter 2)

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

自适应阈值分割代码，比较完整。C++builder编写，可运行/()

这是个由matlab仿真实现的基于dwt的数字水印技术算法，实现了数字水印的嵌入、提取和一系列攻击实验。效果良好。(This is implemented by the matlab simulation of digital watermarking technique based on dwt algorithm, realization of the digital watermark embedding, extraction and a series of attacks on experiments. Good effect.)

非下采样contourlet变换用于图像降噪，多尺度几何分析的应用。 (Contourlet transform non-down-sampling for image noise reduction, multi-scale analysis of the application of geometry.)

双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)

深度搜索算法用于一幅二值图像，指定开始点和目标点(deep first search method is used for binary image,with assigned start and end point)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

说明：  SVAG图形库, linux下面运行的图形库程序(SVAG graphics library, linux graphics library running the following procedure)