A Novel Iso-Neigborhood Level Set Framework

Autor:	Shao Rong Wang, Xiao Long Shi
Rok vydání:	2014
Předmět:	Active contour model Level set (data structures) Exterior field business.industry Sampling (statistics) Computer vision General Medicine Image segmentation Artificial intelligence Type (model theory) business Mathematics
Zdroj:	Applied Mechanics and Materials. :1254-1258
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.490-491.1254
Popis:	Improved and extended level set framework with a novel iso-neigborhood concept. In the new framework, driving forces are determined by the iso-neighborhood rather than only by some exterior field outside the propagating fronts. This hybrid driving forces make the propagation of the active contour more robust. And furthermore the new framework will be very flexible to various kinds of images by defining different type of sampling algorithm in the iso-neighborhood.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0c91d326e55d3a6839724317ec9eb746 https://doi.org/10.4028/www.scientific.net/amm.490-491.1254 Zobrazit plný text záznamu