Title :
An improved wavelet-based corner detection technique
Author :
Quddus, Azhar ; Fahmy, M.M.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
An improved, wavelet-based technique for corner detection, in 2-D planar curves, is presented. This boundary based technique is simple to implement and computationally efficient and exploits wavelet transform modulus maxima (WTMM) to detect corners. The proposed algorithm is robust with respect to object geometry. We also report results under additive white Gaussian noise (AWGN)
Keywords :
AWGN; edge detection; wavelet transforms; 2D planar curves; AWGN; additive white Gaussian noise; boundary based technique; computationally efficient method; digital images; object geometry; wavelet transform modulus maxima; wavelet-based algorithm; wavelet-based corner detection; AWGN; Additive white noise; Discrete wavelet transforms; Geometry; Minerals; Noise robustness; Positron emission tomography; Shape; Signal processing algorithms; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.757525
