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基于梯度场的彩色图像序列光流场算法
引用本文:廖彬,杜明辉,胡金龙.基于梯度场的彩色图像序列光流场算法[J].电视技术,2010,34(9).
作者姓名:廖彬  杜明辉  胡金龙
作者单位:1. 华南理工大学,电子与信息学院,广东,广州,510640;华南农业大学,理学院数学系,广东,广州,510640
2. 华南理工大学,电子与信息学院,广东,广州,510640
3. 华南理工大学,信息网络工程研究中心,广东,广州,510640
摘    要:采用动态图像模型,针对实际环境中亮度改变的特点,充分利用彩色图像的色彩信息,提出基于梯度场的彩色图像序列光流法.试验结果表明,本文方法能在光照改变的条件下,得到各种复杂运动连续而一致的光流场.

关 键 词:光流  图像梯度场  彩色图像  通用动态图像模型

Optical Flow Estimation for Color Image Sequence Based on Gradient Field
LIAO Bin,DU Ming-hui,HU Jin-long.Optical Flow Estimation for Color Image Sequence Based on Gradient Field[J].Tv Engineering,2010,34(9).
Authors:LIAO Bin  DU Ming-hui  HU Jin-long
Affiliation:LIAO Bin1,2,DU Ming-hui1,HU Jin-long3(1.School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,China,2.Mathematics Department,South China Agriculture University,3.Network Engineering and Research Center,China)
Abstract:In this paper,optical flow estimation for color image sequence based on gradient field is proposed,in which the optical equation is established at gradient field of color images to weaken optical estimation errors caused by illumination variations combining with the color information.Three groups of experiments show that the proposed method is more accurate and robust.
Keywords:optical flow  gradient field  color images  generalized dynamic image model  
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