@inproceedings{7db502e442fe4dde8df324ee875d492c,
title = "Complex-valued hough transforms for circles",
abstract = "This paper proposes the use of complex variables to represent votes in the Hough transform for circle detection. Replacing the positive numbers classically used in the parameter space of the Hough transforms by complex numbers allows cancellation effects when adding up the votes. Cancellation and the computation of shape likelihood via a complex number's magnitude square lead to more robust solutions than the 'classic' algorithms, as shown by computational experiments on synthetic and real datasets. We note a resemblance to methods used in quantum theory.",
author = "Marcelo Cicconet and Davi Geiger and Michael Werman",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "https://doi.org/10.1109/ICIP.2015.7351313",
language = "الإنجليزيّة",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2801--2804",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
address = "الولايات المتّحدة",
}