Real-time edge segment detection with Edge Drawing algorithm

Cihan Topal*, Ozgur Ozsen, Cuneyt Akinlar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationISPA 2011 - 7th International Symposium on Image and Signal Processing and Analysis
Pages313-318
Number of pages6
Publication statusPublished - 2011
Externally publishedYes
Event7th International Symposium on Image and Signal Processing and Analysis, ISPA 2011 - Dubrovnik, Croatia
Duration: 4 Sept 20116 Sept 2011

Publication series

NameISPA 2011 - 7th International Symposium on Image and Signal Processing and Analysis

Conference

Conference7th International Symposium on Image and Signal Processing and Analysis, ISPA 2011
Country/TerritoryCroatia
CityDubrovnik
Period4/09/116/09/11

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