2016 International Conference on Frontiers of Information Technology (FIT) (2016)
Dec. 19, 2016 to Dec. 21, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2016.028
Initial results on a fast approach for detecting straight line segments based on the combination of local search and Hough Transform (HT) is discussed in this paper. Though HT is a robust method for extracting patterns from noisy images, it does not regard the level of occlusions and the minimum allowable line segment length. We propose a Sliding Window (SW) concept which eliminates most of the spurious data in the Hough Space (HS) and takes into consideration the mentioned parameters. Moreover, HS is only estimated at points where peaks are expected, thus reducing the time complexity. Experimental results show clear improvement over the conventional HT.
Transforms, Image edge detection, Feature extraction, Noise measurement, Shape, Visualization, Electronic mail,
Muhammad Usman Karim Khan, Abdul Bais, "p2pHT: A Point to Point Hough Transform", 2016 International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 111-114, 2016, doi:10.1109/FIT.2016.028