DocumentCode :
3063935
Title :
A study on the forms of smoothing filters for step and ramp edge detection
Author :
Peng, Anrong ; Dubuisson, Bernard ; Benjelloun, Mohammed
Author_Institution :
Dept. Syst. et Res., Inst. Nat. des Telecommun., Evry, France
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
741
Lastpage :
744
Abstract :
It is the authors´ belief that edge detection should crucially depend on the forms of smoothing filters. After an investigation of different filter forms for step edge model, the authors give two propositions for ramp edge detection. By applying them to a simulated image with ideal ramp edges and real images that seem to have more ramp edges, the two propositions are confirmed
Keywords :
edge detection; filtering and prediction theory; ramp edge detection; smoothing filters; step edge detection; Filtering theory; Filters; Gaussian noise; Image edge detection; Laplace equations; Layout; Signal to noise ratio; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.202093
Filename :
202093
Link To Document :
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