ms_ssim

对流层与电离层中电波传播的相关问题研究,很好的文章(Troposphere and ionosphere wave propagation issues related to research)

detect face and recognition with lpd and pca

利用mask与Wallis算法实现影像匀光匀色(Using mask and Wallis algorithm to realize the uniform color of the image)

用c++编写的三维图像变换的源代码，也是计算机图像学中经常要学习的一种变换。(Transform the source code written in c++ three-dimensional images, but also often have to learn a transformation in the computer iconography.)

纹理模式的LBP特征表示及分类原理：就是通过定义一个模板，对于原图像中的每个点，使用该模板进行操作，模板中心点近邻区域对应的图像象素值与中心位置对应的象素值进行比较，且对于不同位置的比较结果赋予不同的权值，从而，变换图像中对应点的值就由模板对应各位置的比较结果之权和表示。(LBP texture pattern feature representation and classification theory: that by defining a template for the original image of each point, use the template to operate, the template center of neighboring regions corresponding to the center of the image pixel values corresponding to the pixel value comparison, and the comparison results for different locations given different weights, and thus, changing the value of the image corresponding points on the template corresponding to each position by the comparison of the results of the right to and express.)

说明：  使用openmv实现人脸识别。。。。。。。。。。。。。。。。。。(Face recognition is a kind of biometric technology based on facial feature information. A series of related technologies, also known as portrait recognition and face recognition, that use cameras or cameras to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform face recognition on the detected faces.)

数字隐写，将txt文档藏进图片中，并能够从图片中解出隐藏的文本。(Digital steganography )

此文档中的代码可以计算5种图像的质量参数，分别是：图像灰度均值、图像方差、图像平均梯度、熵和峰值信噪比及均方误差。(The code in this document can be calculated five kinds of image quality parameters, namely: the image gray value, image variance, average gradient image, entropy and peak signal to noise ratio and mean square error.)

说明：  图像处理算法质量评估，图像结构相似度（ssim)评价的matlab实现，并附带原始论文pdf(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 1, Jan. 2004.)

说明：  利用Em算法进行图像分割的代码，可以运行，代码简短清晰，有利于初学者，希望对你有用(Em algorithm using image segmentation code, you can run, code clear brief will help beginners, in the hope that useful to you)