partical-filter

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

使用了色调映射算法，调整图片的灰度，更好表达原图里的信息与特征。(The hue mapping algorithm is used to adjust the gray level of the image and better express the information and features in the original image.)

用MATLAB编写的粒子滤波器程序，能很好对目标进行跟踪，适合学习粒子滤波器的同学。(Particle filter program written using MATLAB, well target tracking, suitable for students learning particle filter.)

这是一份关于数字图像处理半色调打印技术的MATLab源程序。(This is a paper about Halftoning.)

基于meansheift的彩色图像分割方法。其中keyprogram.m为主程序。meanshift为调用函数(Color image segmentation method based meansheift. Where keyprogram.m main program. meanshift call the function)

粒子滤波重采样方法实现程序，包括随机重采样、多项式重采样、系统重采样、残差重采样程序(Particle filter resampling method procedures, including random resampling, resampling polynomial system resampling, residual resampling procedure)

用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, discrete cosine transform, image preprocessing and so on.)

针对opencv的配制方法总结，适合初学者来配置开发环境(For the preparation of opencv summary, suitable for beginners to configure the development environment)

使用MATLAB编写，可以给图像添加数字水印。(Adding digital watermark to image)

说明：  中值滤波 去燥MATLAB代码 可直接用 可直接用 可直接用(Wavelet de-drying MATLAB code Can be used directly Can be used directly Can be used directly)