Improving the Hough Transform through Three New Morphological Operators
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Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Despite being one of the most famous line detectors, Hough Transform has reliability issues. Hough Transform works better on long lines. This article introduces three new binary morphological operators that stretches binary edge images. The first of these operators thins the output of the binary edge image so that the second one can stretch it. The third operator, smooth, is designed for smoothing the lines that are stretched. Results show that these two operators improve Hough Transform results considerably at a very low computational expense. The author publicly shared the executable of the algorithm and the dataset on the Github to prove the efficiency of the method. © 2019 IEEE.
Açıklama
2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- Malatya -- 153040
Anahtar Kelimeler
circle detector, Hough Transform, Image Processing, line detector, morphologic operator, OpenCV
Kaynak
2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
