TY - GEN
T1 - Similar neighborhood criterion for edge detection in noisy and noise-free images
AU - Awad, Ali
AU - Man, Hong
PY - 2008
Y1 - 2008
N2 - A novel approach for edge detection in noise-free and noisy images is presented in this paper. The proposed method is based on the number of similar pixels that each pixel in the image may have amongst its neighboring in the filtering window and within a pre-defined intensity range. Simulation results show that the new detector performs well in noise-free images but superior in corrupted images by salt and pepper impulse noise. Moreover, it is time efficient.
AB - A novel approach for edge detection in noise-free and noisy images is presented in this paper. The proposed method is based on the number of similar pixels that each pixel in the image may have amongst its neighboring in the filtering window and within a pre-defined intensity range. Simulation results show that the new detector performs well in noise-free images but superior in corrupted images by salt and pepper impulse noise. Moreover, it is time efficient.
UR - http://www.scopus.com/inward/record.url?scp=70349310553&partnerID=8YFLogxK
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U2 - 10.1109/IMCSIT.2008.4747287
DO - 10.1109/IMCSIT.2008.4747287
M3 - Conference contribution
AN - SCOPUS:70349310553
SN - 9788360810149
SN - 9788360810149
T3 - Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT 2008
SP - 483
EP - 486
BT - Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT 2008
T2 - International Multiconference on Computer Science and Information Technology, IMCSIT 2008
Y2 - 20 October 2008 through 22 October 2008
ER -