Title :
Line detection based on the basic masks and image rotation
Author :
Al-Eidan, Rasha BinSultan ; Al-Braheem, Lamya ; El-Zaart, Ali
Author_Institution :
Comput. Sci. Dept., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
In this paper we present a novel idea for the line detection based on the basic masks and rotation. Also, we implement the line detection algorithm that based on small eigenvalue analysis and proposed by Guru, Shekar and Nagabhushan. Then, we provided a result of our testing of both algorithms and presented the finding and conclusion about the effective of the proposed algorithms.
Keywords :
edge detection; eigenvalues and eigenfunctions; eigenvalue analysis; image masking; image rotation; line detection algorithm; Algorithm design and analysis; Computer science; Detection algorithms; Educational institutions; Eigenvalues and eigenfunctions; Image edge detection; Information technology; Joining processes; Testing; Welding; component; line detection; rotation; small eigenvalue;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486132
