DocumentCode :
1844419
Title :
Real-time edge segment detection with Edge Drawing algorithm
Author :
Topal, Cihan ; Ozsen, Ozgur ; Akinlar, Cuneyt
Author_Institution :
Dept. of Comput. Eng., Anadolu Univ., Eskisehir, Turkey
fYear :
2011
fDate :
4-6 Sept. 2011
Firstpage :
313
Lastpage :
318
Abstract :
Edge Drawing (ED) is an edge detection method that works by computing a set of anchor points, which are most likely to be edge elements, and linking them with a predefined set of rules which we call smart routing. ED can thus obtain one-pixel wide, contiguous and smooth edges in real-time. In most cases, obtaining the edges in segment form (i.e. blob of connected edgels) is desired. Because edge segments also include the connectivity information among the pixels, they contain useful features about the geometric shape of the detected edges. In contrast to conventional detectors, ED is able to output the resulting edge map as vectorial data, i.e., array of edge segments instead of a 2D binary image. In this work, this capability of ED is explained and discussed with examples.
Keywords :
edge detection; image segmentation; 2D binary image; edge drawing algorithm; edge segment detection; smart routing; Image edge detection; Image segmentation; Joining processes; Real time systems; Routing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
Conference_Location :
Dubrovnik
ISSN :
1845-5921
Print_ISBN :
978-1-4577-0841-1
Electronic_ISBN :
1845-5921
Type :
conf
Filename :
6046625
Link To Document :
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