Wavelet-domain-Hidden-Markov-Models

说明：  本人自己编写的用matlab实现彩虹程序，(I have written with matlab Rainbow realize procedures,)

使用GDAL库，用于遥感影像的特征点提取(Using the GDAL library, used for remote sensing image feature point extraction)

萤火虫算法的源代码，函数文件，可直接运行，用来寻找图像阈值分割的最优值（三阈值）。(firefly algorithm function.)

基于C++的人脸分割的设计，C／Ｃ++语言、数字信号处理，最好选修过“数字图像处理”。(Based on the C++ face segmentation design, C/C++ language, digital signal processing, the best elect digital image processing.)

实现了迭代盲反卷积的图像去模糊，自己写的代码，没有调用matlab已有函数(Iterative blind deconvolution of images blurred, write your own code, without calling matlab existing function)

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)

舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理(Image processing image processing tongue tongue tongue tongue image processing image processing image processing tongue tongue image processing)

快速检测复制粘贴图片，用于检测图像是否为复制粘贴伪造的(This program detect the copy-move forgery in images as described)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

说明：  用python实现傅里叶的快速变换，实现与传统傅里叶变换不同的快速傅里叶变换，也使用了一些图形界面设计(Using Python to realize the fast Fourier transform, which is different from the traditional Fourier transform, and also using some graphic interface design)