TY - GEN
T1 - A new fast line detection algorithm
AU - Jian, Sun
AU - Fengqi, Zhou
AU - Jun, Zhou
PY - 2006
Y1 - 2006
N2 - 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 sin 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.
AB - 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 sin 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.
UR - http://www.scopus.com/inward/record.url?scp=33750952132&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:33750952132
SN - 0780393953
SN - 9780780393950
T3 - 1st International Symposium on Systems and Control in Aerospace and Astronautics
SP - 831
EP - 833
BT - 1st International Symposium on Systems and Control in Aerospace and Astronautics
T2 - 1st International Symposium on Systems and Control in Aerospace and Astronautics
Y2 - 19 January 2006 through 21 January 2006
ER -