DocumentCode :
1381202
Title :
Singularities and regularities on line pictures via symmetrical trapezoids
Author :
Rocha, Jairo ; Bernardino, Rafael
Author_Institution :
Univ. of the Balearic Islands, Palma de Mallorca, Spain
Volume :
20
Issue :
4
fYear :
1998
fDate :
4/1/1998 12:00:00 AM
Firstpage :
391
Lastpage :
395
Abstract :
An algorithm that decomposes a line image into singular and regular regions is presented. We define a contour trapezoid as the building block of regular regions, and postulate a maximal trapezoid set as the core of regular regions. Then, we describe an algorithm that calculates a maximal trapezoid set of a polygon and show how to use it to find a skeleton of a polygonal approximation of a contour. Experiments are explained to show the behavior of the new concept on real images as compared to previous algorithms
Keywords :
image processing; contour polygonal approximation skeleton; contour trapezoid; line image decomposition; line pictures; maximal trapezoid set; regular regions; regularities; singular regions; singularities; symmetrical trapezoids; Approximation algorithms; Data mining; Image segmentation; Joints; Region 4; Samarium; Skeleton;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.677264
Filename :
677264
Link To Document :
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