DocumentCode
2023839
Title
Image sequence segmentation based on the formal lattice Boltzmann equation and its lower order approximation
Author
Ding, Guang-Tai ; Luo, Dan-Xia ; Li, Shu-Qing
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
fYear
2010
fDate
23-25 Nov. 2010
Firstpage
815
Lastpage
820
Abstract
The image sequence segmentation based on the optical flow is discussed in this paper. The lattice Boltzmann method, which is used in computational fluid dynamics theory for the simulation of fluid dynamics, is involved to set up the formal lattice Boltzmann equation of the optical flow of the image sequence. Several different types of approximations to the formal lattice Boltzmann equation are presented to modify the optical flow constraints. Evaluating the velocity of the optical flow, the edge detection problem can be solved in a way of an approximation method. The experimental results show that the estimating algorithm works well, and the method based on the formal lattice Boltzmann equation of the optical flow is effective for the image sequence segmentation.
Keywords
Boltzmann equation; approximation theory; computational fluid dynamics; image segmentation; image sequences; computational fluid dynamics; formal lattice Boltzmann equation; image sequence segmentation; lower order approximation; optical flow; Approximation methods; Equations; Image segmentation; Image sequences; Lattice Boltzmann methods; Mathematical model; Optical imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-5856-1
Type
conf
DOI
10.1109/ICALIP.2010.5685119
Filename
5685119
Link To Document