TY - GEN
T1 - A region-based edge detection technique for noisy images
AU - Haghighat, Mohammad Bagher Akbari
AU - Geravanchizadeh, Masoud
AU - Namjoo, Ehsan
PY - 2009
Y1 - 2009
N2 - Edge detection is a basic and important issue in computer vision and image processing. The traditional methods of image edge detection are sensitive to noise and often cannot locate the edge exactly. We propose a new method of edge detection which can eliminate the fake edges caused by the noise disturbance, and ensure the veracity of edge orientation to have a proper result for noisy images. A problem introduced as "cross effect" occurs in the derivative of Gaussian filter method, which will be eliminated in this paper. As will be shown, our method is robust in confrontation with noise.
AB - Edge detection is a basic and important issue in computer vision and image processing. The traditional methods of image edge detection are sensitive to noise and often cannot locate the edge exactly. We propose a new method of edge detection which can eliminate the fake edges caused by the noise disturbance, and ensure the veracity of edge orientation to have a proper result for noisy images. A problem introduced as "cross effect" occurs in the derivative of Gaussian filter method, which will be eliminated in this paper. As will be shown, our method is robust in confrontation with noise.
KW - Edge detection
KW - Gaussian filter
KW - Ridge
KW - Steerable filter
UR - https://www.scopus.com/pages/publications/77749342746
U2 - 10.1109/ICAICT.2009.5372606
DO - 10.1109/ICAICT.2009.5372606
M3 - Conference contribution
AN - SCOPUS:77749342746
SN - 9781424447404
T3 - 2009 International Conference on Application of Information and Communication Technologies, AICT 2009
BT - 2009 International Conference on Application of Information and Communication Technologies, AICT 2009
T2 - 2009 International Conference on Application of Information and Communication Technologies, AICT 2009
Y2 - 14 October 2009 through 16 October 2009
ER -