摘要
本文是研究将格子波尔兹曼方法应用到光流场计算领域中,利用这种方法对连续图像帧序列中的光流场建立形式化的格子波尔兹曼方程,并设定相应的约束条件。再利用形式化格子波尔兹曼方程的格子D2Q9模型建立计算方程,对图像光流场进行迭代运算,确定比较准确的阈值对图像进行分割,实现局部运动估计。通过仿真实验证实检测该方法检测结果比较准确,比拉普拉斯滤波处理方式速度提高10倍左右,对于视频编码工作具有重要的意义。
To study the Lattice Boltzmann Method to calculate the optical flow field in the optical flow field in this paper.We use this method to establish the optical flow field in the continuous image frame sequence to form the lattice Pohl Seidman equation,and set the corresponding constraint conditions.We use the lattice D2Q9model of the formal lattice Pohl Seidman equation to find out the accurate threshold to segment the image,and realize the local motion estimation.The simulation results show that the detection results are accurate,and the speed of Bilal Plath filter is increased by about10times.This work is of great significance to the video encoding.
作者
许幼明
XU You-ming(Ningbo City College of Vocational and Technical,Ningbo,Zhejiang 315100,China)
出处
《教育教学论坛》
2017年第18期204-207,共4页
Education And Teaching Forum
关键词
视频
格子波尔兹曼方法
光流场
图像分割
运动估计
video
Lattice Lattice Boltzmann Method
optical flow field
image segmentation
motion estimation
