Baykal, Ibrahim Cem2025-01-062025-01-062019978-172812932-710.1109/IDAP.2019.88759182-s2.0-85074882894https://doi.org/10.1109/IDAP.2019.8875918https://hdl.handle.net/20.500.14669/13162019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- Malatya -- 153040Despite 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.eninfo:eu-repo/semantics/closedAccesscircle detectorHough TransformImage Processingline detectormorphologic operatorOpenCVConference Object