Image sequence segmentation based on the formal lattice Boltzmann equation and its lower order approximation

Autor:	Guangtai Ding, Shu-Qing Li, Dan-Xia Luo
Rok vydání:	2010
Předmět:	Physics::Fluid Dynamics HPP model Mathematical analysis Optical flow Lattice Boltzmann methods Image segmentation Direct simulation Monte Carlo Statistical physics Bhatnagar–Gross–Krook operator Boltzmann equation Lattice gas automaton Mathematics
Zdroj:	2010 International Conference on Audio, Language and Image Processing.
DOI:	10.1109/icalip.2010.5685119
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5b24eb4ee6029df54581d574b4d16a96 https://doi.org/10.1109/icalip.2010.5685119 Zobrazit plný text záznamu