NDLI: Square detection based on distance distribution

Content Provider	IEEE Xplore Digital Library
Author	Hong-Min Liu Zhi-Heng Wang Chao Deng Li-Qin Jia
Copyright Year	2011
Description	Author affiliation: School of Computer Science and Technique, Henan Polytechnic University, Jiaozuo 454000, China (Hong-Min Liu; Zhi-Heng Wang; Chao Deng; Li-Qin Jia)
Abstract	This paper presents a method for the square detection based on distance distribution of the edge points of the image. The orientation line of the edge point is defined first, then for each pixel of the image, the distances between the pixel and the orientation lines of the edge points in the defined neighborhood of the pixel are computed to obtain the feature length and feature energy of the pixel, and further attain the feature length distribution map and feature energy distribution map of the whole image. Local maxima detection in the feature energy map is subsequently performed to find the potential center of the squares, and the corresponding feature length of the found potential center is also obtained. Additive steps are performed to verify and determine the centers of the squares. Synthetic images and natural images are used to prove the capability of the presented method for square detection. The experiments exhibit good performance for detecting the single square or the nested ones.
Starting Page	35
Ending Page	39
File Size	149465
Page Count	5
File Format	PDF
ISBN	9781457702839
ISSN	21585695
e-ISBN	9781457702822
DOI	10.1109/ICWAPR.2011.6014473
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Square detection Shape Image edge detection Feature energy Feature extraction Wavelet analysis Educational institutions Pattern recognition Distance distribution Orientation line
Content Type	Text
Resource Type	Article

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