NDLI: A robust structure extraction method based on image edge

Content Provider	IEEE Xplore Digital Library
Author	Yang Guang Hu Lei Lu Qichao Gao Feng
Copyright Year	2011
Description	Author affiliation: Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, 100191, China (Yang Guang; Hu Lei; Lu Qichao; Gao Feng)
Abstract	In this paper, we propose a novel approach with desirable universality and expansibility for structural feature extraction. Structural feature is a high-level 2D feature that delivers information including image components and spatial relations of them. In the proposed approach, we first trace edges to line segments, fit line segments to longer lines and extract parallel pairs. Then, we extract contours of image components by grouping lines and parallel pairs. Lastly, we reveal the salient spatial relations of components by theorems and judging rules. The theorems, which are concluded from the step of components extraction, facilitate the following analytical procedure. Experimental results tested on 1960 real images demonstrate that our approach can extract integrated contours of image components and analyze the spatial relations between them in desirable time consuming, and the approach is suitable for many application fields.
Starting Page	855
Ending Page	859
File Size	703139
Page Count	5
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6100265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image edge structure extraction Image segmentation Computer vision Target recognition Image edge detection Feature extraction Complexity theory Pattern recognition structure feature
Content Type	Text
Resource Type	Article

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