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Author Tran, Nam H. ♦ Dongsun, Seo ♦ Tu, Henry T.h.
Source Directory of Open Access Journals (DOAJ)
Content type Text
Publisher EDP Sciences
File Format PDF
Date Created 2018-08-13
Copyright Year ©2018
Language English ♦ French
Subject Domain (in LCC) TA1-2040
Subject Keyword Engineering (General) ♦ Technology ♦ Civil engineering (General)
Abstract We show a novel way to select long thin objects in an image by enhancing the output of the existing foreground/background image segmentation methods. Most superpixel-based methods fail to select the long thin details, such as legs and whiskers, and extended curves from the main objects. We observe, however, the output without long thin details, can be used as the guided information to obtain the connected components. Based on this observation, our Guided Lazy Snapping method overcomes the limitation of the Lazy Snapping methods (or other alternatives superpixel-based segmentation method) to select long thin objects. The results show that connected components in the image can be selected without having a lot of user interactions (mouse clicks) on each extended parts of the object.
ISSN 2261236X
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2018-01-01
e-ISSN 2261236X
Journal MATEC Web of Conferences
Volume Number 189
Starting Page 10026


Source: Directory of Open Access Journals (DOAJ)