Title :
Extended Standard Hough Transform for analytical line recognition
Author :
Sere, A. ; Sie, Oumarou ; Andres, Emmanuel
Author_Institution :
Lab. of Inf. Process. & Commun., Univ. of Ouagadougou, Ouagadougou, Burkina Faso
Abstract :
This paper presents a new method which extends the Standard Hough Transform for the recognition of naive or standard line in a noisy picture. The proposed idea conserves the power of the Standard Hough Transform particularly a limited size of the parameter space and the recognition of vertical lines. The dual of a segment, and the dual of a pixel have been proposed to lead to a new definition of the preimage. Many alternatives of approximation could be established for the sinusoid curves of the dual of a pixel to get new algorithms of line recognition.
Keywords :
Hough transforms; image recognition; analytical line recognition; extended standard Hough transform; naive line; noisy picture; parameter space; sinusoid curves; standard line; vertical lines; Educational institutions; Equations; Image segmentation; Laboratories; Noise measurement; Standards; Transforms; discrete; hough; recognition; transform;
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
DOI :
10.1109/SETIT.2012.6481950