DocumentCode
1866983
Title
A new fast line detection algorithm
Author
Sun, Jian ; Zhou, Fengqi ; Zhou, Jun
Author_Institution
Northwestern Polytech. Univ., Xi ´´an
fYear
2006
fDate
19-21 Jan. 2006
Lastpage
833
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISSCAA.2006.1627457
Filename
1627457
Link To Document