@inproceedings{deb306de02db49e6ac8db9ab1247893a,
title = "Edge drawing: A heuristic approach to robust real-time edge detection",
abstract = "We propose a new edge detection algorithm that works by computing a set of anchor edge points in an image and then linking these anchor points by drawing edges between them. The resulting edgemap consists of perfect contiguous, one-pixel wide edges. The performance tests show that our algorithm is up to 16\% faster than the fastest known edge detection algorithm, i.e., OpenCV implementation of the Canny edge detector. We believe that our edge detector is a novel step in edge detection and would be very suitable for the next generation real-time image processing and computer vision applications.",
author = "Cihan Topal and C{\"u}neyt Akinlar and Yakup Gen{\c c}",
year = "2010",
doi = "10.1109/ICPR.2010.593",
language = "English",
isbn = "9780769541099",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2424--2427",
booktitle = "Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010",
address = "United States",
}