NDLI: Interactive image segmentation based on object contour feature image

Content Provider	IEEE Xplore Digital Library
Author	Qiang Chen Benben Xue Quansen Sun Deshen Xia
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Technology, Nanjing University of Science and Technology, China (Qiang Chen; Benben Xue; Quansen Sun; Deshen Xia)
Abstract	This paper presents a new interactive image segmentation method. The key idea is to generate the object contour feature image according to a small number of user supplied object contour points, and then adopt the parametric active contour model for object segmentation. An image patch matching with rotation-invariance is utilized to generate object contour feature image. In order to prevent the evolving curve running into local optimal solution, the initial evolving curve of the parametric active contour is constructed by local intensity values of the object contour feature image. Medical image segmentation results indicate that the proposed method is superior to the traditional parametric active contour model, and is an effective semi-automatic image segmentation method.
Starting Page	3605
Ending Page	3608
File Size	491194
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Active contours Image edge detection Computer vision Biomedical imaging Histograms Markov processes rotation-invariance interactive image segmentation parametric active contour image patch matching
Content Type	Text
Resource Type	Article

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