3D_Moment_Invariant

基于矢量匹配法的快速实现程序，工程中较常用(Vector-based matching method for the rapid realization process, more commonly used engineering)

这是vtk结合MFC在一个对话框内进行面绘的代码，读入图像的格式为DICOM(vtk This is a combination of the MFC dialog within the code face painting, Reading into the image of the DICOM format)

裁剪shape文件，使用idl编程实现，就是一个功能，编译以后可以直接调用这个函数(Clipping shape file, using idl programming, is a function, after compiling can directly call this function)

这是一个相机标定程序，有数据检验，求出两个相机的投影矩阵，用于双目视觉(This is a camera calibration procedures, test data, obtained two camera projection matrix for the binocular vision)

JSteg隐写技术matlab实现代码--基本思想：用秘密信息比特直接替换JPEG图像中量化后DCT系数的最低比特位，但若量化后DCT系数为0或者1，则不进行处理。（DCT系数的LSB嵌入） (JSteg steganography matlab code- the basic idea: direct replacement with the secret information bits JPEG image quantized DCT coefficients in the least significant bit, but if the quantized DCT coefficient is 0 or 1, no processing. (DCT coefficients LSB embedding))

区上古湖北天使来告诉大家一个结旧时的在做的额为都是垃圾 图像融合程序，论文见： 屈小波, 闫敬文, 肖弘智, 朱自谦.非降采样Contourlet域内空间频率激励的PCNN图像融合算法.自动化学报，Vol.34, No.12, pp: 1508-1514.Dec.2008. Matlab Image Fu...

说明：  该算法实现了数字水印的嵌入与提取，然后对图像进行均衡化处理，分析均衡化处理后的图像对数字水印嵌入和提取效果的影响。(The algorithm realizes the embedding and extraction of digital watermark, and then carries on the equalization processing to the image, analyzes the influence of the equalization processed image on the embedding and extraction effect of digital watermark.)

ansys中建立的塔线模型，方便后续计算(Tower-line model established in ANSYS is convenient for subsequent calculation)

读取jpeg图片数据并输出到txt文本中，再从txt文本中读取数据生成图片(Reading image data and outputs to txt, and then read the data generated image txt text)

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.)