NDLI: Graph based segmentation with minimal user interaction

Content Provider	IEEE Xplore Digital Library
Author	Huaizhong Zhang Essa, E. Xianghua Xie
Copyright Year	2013
Description	Author affiliation: Comput. Sci. Dept., Swansea Univ., Swansea, UK (Huaizhong Zhang; Essa, E.; Xianghua Xie)
Abstract	In this paper, we present a graph based segmentation method that only requires a single point from user initialization. We incorporate a new image feature into the segmentation scheme. It is derived from a vector field that takes into account gradient vector interactions across the image domain, and has the simplicity of edge based features but also proves to be a useful region indication in two-level segmentation. Effective vector field diffusion is proposed to deal with excessive image noise. Based on a single user point we unravel the image and transfer the object segmentation into a height field segmentation in polar coordinates, which in effect imposes a star shape prior. The search of a minimum closed set on a node weighted, directed graph produces the segmentation result. Comparative analysis on real world images demonstrates promising performances of the proposed method in segmentation accuracy and its simplicity in user interaction.
Starting Page	4074
Ending Page	4078
File Size	8156644
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738839
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	star graph Graph cut interactive segmentation optimal surface segmentation
Content Type	Text
Resource Type	Article

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