基于引导滤波的图像增强算法

说明：  在用Mean-shift进行跟踪中，采用颜色与纹理相结合的特征空间(Mean-Shift using features of color combined with texture.)

去噪算法matlab源码三合一，包含BLS-GSM，BM3D，NLM(Denosing algorithms 3 in 1, include BLS-GSM+ BM3D+ NLM)

matlab电子稳像块匹配算法程序代码 图片路径请自行更改(Electronic Image Stabilization matlab code image block matching algorithm to change the path at your own)

基于小波变换模极大的多尺度图像边缘检测,比较简单，但实用，是本人模式识别程序的一部分(Based on wavelet transform modulus maxima of the multi-scale image edge detection, relatively simple, but useful, is himself a part of pattern recognition procedures)

均值滤波，高斯滤波，双边滤波以及求PSNR的基本算法(Mean filtering, Gaussian filtering, bilateral filtering and basic algorithms for PSNR of)

利用最大熵方法求图像二值化的阈值 输入的图像名称，读取名称是M的图像文件 统计各个灰度级出现的概率 (Using the maximum entropy method for image binarization threshold input image name, the name is M read image files in various gray-scale statistical probability)

利用LabViev设计虚拟消噪器，利用小波对信号进行分解，然后设定阈值，再对小波进行重构。(Denoising using LabViev virtual device design, the use of wavelet signal decomposition, and then set the threshold value, then the wavelet reconstructed.)

数字图像哈弗曼编码，包括压缩和解压。压缩比、信噪比(Encoded digital image Hafu Man)

针对齿轮滚动轴承等的早期损伤类故障, 提出将小波包分解作为包络分析的前置处理手段以提取振动信号的故障信息特征 。 在简述小波包基本原理的基础上, 通过仿真信号, 对振动信号的具体处理过程进行分析, 并对可能遇到的问题, 提出处理办法, 然后应用于诊断实例 。 (Early damage fault for rolling bearings and other gear, the proposed wavelet packet decomposition as pre-processing means envelopment analysis to extract characteristic vibration signal fault information. On the basis of the basic principles outlined wavelet packet, through simulation signal processing for specific vibration signals are analyzed, and the problems that may be ncountered, proposed approach, and then applied to the diagnosis example.)

关于计算机视觉和图像的matlab工具箱。包括相位一致性特征，空间特征检测，积分图像，非极大值抑制和滞后阈值，边链接和线段拟合，去噪，等(MATLAB and Octave Functions for Computer Vision and Image Processing。such as • Feature Detection via Phase Congruency • Spatial Feature Detection • Integral Images • Non-Maxima Suppression and Hysteresis Thresholding • Edge Linking and Line Segment Fitting • Test Grating for Edge Detection • Image Denoising • Surface Normals to Surfaces • Scalogram Calculation • Anisotropic diffusion • Grey Scale Transformation and Enhancement • Frequency Domain Transformations • Functions Supporting Projective Geometry • Feature Matching • Model Fitting and Robust Estimation • Fingerprint Enhancement • Interesting Synthetic Images • ASCII Image Generation • Rotation Transforms • Image Blending • Colourmaps and colour conversions • Image Display, Image Writing and Miscellaneous )