一种基于小波变换和HSI的改进视频光流场估计算法  

Improved Video Optical Flow Field Estimation Based on Wavelet Transform and HSI

作　　者：黄金杰[1] 丁艳军[1] 

机构地区：[1]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080

出　　处：《现代电子技术》2010年第12期117-120,共4页Modern Electronics Technique

基　　金：国家重点基础研究发展计划(973)资助项目(2002cb312201-3);国家自然科学基金资助项目(60575036);哈尔滨市优秀学科带头人专项基金资助项目(2007RFXXG023);哈尔滨理工大学优秀拔尖创新人才培养基金资助项目(20070105)

摘　　要：为了避免传统基于RGB颜色模型方法在方程组中各等式线性相关和存在孔径的问题,提出一种在HSI颜色模型下结合小波变换的方法计算彩色图像视频序列光流场的计算方法,这里将传统的灰度图像光流估计方法与HSI颜色模型估计方法相结合,并且用小波变换方法对光流矢量场的异常数据点或因为匹配错误而产生的异常块数据进行剔除,从而有效提高光流场估计精度,得到精密的彩色图像光流矢量场特征。A optical flow field algorithm based on the wavelet transformation and HSI color model for color image video sequences is proposed, whose purpose is to avoid the linear correlation of all the equations in equation set and the existing aperture problems caused by the traditional methods based on RGB color model. To combine the traditional gray-scale image optical flow estimation method with HSI color model estimation method, and with the wavelet transform method to eliminate the abnormal data points produced by the optical flow vector field or the abnormal block data caused by the mismatching. Thereby, the accuracy of optical flow estimation is effectively improved and the precise optical flow vector field characteristics of color images are obtained.

关 键 词：光流场 彩色图像 HSI颜色模型 小波变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]