Title :
A new fast line detection algorithm
Author :
Sun, Jian ; Zhou, Fengqi ; Zhou, Jun
Author_Institution :
Northwestern Polytech. Univ., Xi ´´an
Abstract :
Linear feature detection is very important in computer vision, image segmentation and pattern recognition. The traditional line detection method is Hough transform, which must calculate the sine cosine function and its computational complexity is high. A fast discrete mathematical transform is proposed in this paper, which can detect lines with any orientation, location. The key advantages of this method are its simple implementation and its low computational complexity and the time our method takes is less than 1/3 Hough transform does at the same precision. At the same time the algorithm is not sensitive to noise
Keywords :
Hough transforms; computational complexity; computer vision; feature extraction; image segmentation; Hough transform; computational complexity; computer vision; discrete mathematical transform; image segmentation; line detection; linear feature detection; pattern recognition; Computational complexity; Computer vision; Detection algorithms; Digital images; Discrete transforms; Histograms; Image segmentation; Pattern recognition; Robustness; Sun;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
DOI :
10.1109/ISSCAA.2006.1627457