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.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings |
Publisher | IEEE Computer Society |
Pages | 2801-2804 |
Number of pages | 4 |
ISBN (Electronic) | 9781479983391 |
DOIs | |
State | Published - 9 Dec 2015 |
Event | IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: 27 Sep 2015 → 30 Sep 2015 |
Publication series
Name | Proceedings - International Conference on Image Processing, ICIP |
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Volume | 2015-December |
ISSN (Print) | 1522-4880 |
Conference
Conference | IEEE International Conference on Image Processing, ICIP 2015 |
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Country/Territory | Canada |
City | Quebec City |
Period | 27/09/15 → 30/09/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.