TY - GEN
T1 - An edge detection technique in images
AU - Awad, A. S.
AU - Man, H.
PY - 2008
Y1 - 2008
N2 - A novel edge detection method based on a neighbourhood similarity criterion is presented in this paper. In this algorithm, the pixels in the original image that have minimum numbers of similar pixels among its neighbouring pixels in the filtering window are labelled as edge pixels. Simulation results demonstrate that this approach performs well in noise-free images but it is superior to the others in images corrupted by AWGV. Moreover, the algorithm is fast and has low computational complexity.
AB - A novel edge detection method based on a neighbourhood similarity criterion is presented in this paper. In this algorithm, the pixels in the original image that have minimum numbers of similar pixels among its neighbouring pixels in the filtering window are labelled as edge pixels. Simulation results demonstrate that this approach performs well in noise-free images but it is superior to the others in images corrupted by AWGV. Moreover, the algorithm is fast and has low computational complexity.
UR - http://www.scopus.com/inward/record.url?scp=69949090453&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949090453&partnerID=8YFLogxK
U2 - 10.1109/AIPR.2008.4906439
DO - 10.1109/AIPR.2008.4906439
M3 - Conference contribution
AN - SCOPUS:69949090453
SN - 9781424431250
T3 - Proceedings - Applied Imagery Pattern Recognition Workshop
BT - 2008 37th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2008
T2 - 2008 37th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2008
Y2 - 15 October 2008 through 17 October 2008
ER -