TY - GEN
T1 - Gray-level-based corner detection by using wavelet
AU - Lee, Jiann Shu
AU - Sun, Yung-Nien
PY - 1993/12/1
Y1 - 1993/12/1
N2 - Corners are very attractive features for many applications in computer vision. In this paper, a novel gray-level corner detection algorithm based on the wavelet transform is presented. First, we derived several properties of the corner and the edge embedded in the wavelet domain. Next, we apply these similar properties between the corner and the edge to extract the edge image. And then we employed these different properties between the corner and the edge to locate corners. Experiments have shown that our algorithm can detect corners accurately and effectively.
AB - Corners are very attractive features for many applications in computer vision. In this paper, a novel gray-level corner detection algorithm based on the wavelet transform is presented. First, we derived several properties of the corner and the edge embedded in the wavelet domain. Next, we apply these similar properties between the corner and the edge to extract the edge image. And then we employed these different properties between the corner and the edge to locate corners. Experiments have shown that our algorithm can detect corners accurately and effectively.
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M3 - Conference contribution
AN - SCOPUS:0027767858
SN - 0780312333
T3 - Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)
SP - 970
EP - 973
BT - Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)
A2 - Anon, null
PB - Publ by IEEE
T2 - Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
Y2 - 19 October 1993 through 21 October 1993
ER -