f) WFCE algorithm 
Figure3 Contrastive test of five algorithms 
5. EXPERIMENTAL RESULTS OF ALGORITHM 
The MRED algorithm we develop is demonstrated by applying 
it to some images. Multispectral RS image is selected for 
experiment. Fig.3.a is original image, and Fig.3.b,c,d,e,f is the 
edge detection result of MRED algorithm, Sobel algorithm, Pal. 
King algorithm, fuzzy gradient edge detection algorithm (FGED) 
and wavelets multi-scale fuzzy competitive edge detection 
algorithm (WFCE). 
It can be found that in multispectral image detection, MRED 
algorithm have a good effect, the missing detect of Sobel 
algorithm is frequently. WFCE algorithm appears over 
detection phenomenon, the edge of object is cannot 
distinguished clearly. The detect result of FGED algorithm is 
badly and the effect of Pal.King algorithm is affected by noise 
obviously. 
Figure4a is the image which added 10% gauss noise, the 
contrastive detection result with five algorithms in different 
noise conditions show in figure4.