文件名称:EdgeFollowing
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It is an edge detection algorithm.
This algorithm prepare Best edge of Input Image by such method like NMS(None Maximum) , Hysteresis method and Laplace filter.
--II:
[M,N]=size(gim_G)
B = zeros(size(gim_G))
B( edgecnd(:,1) ) = 1
---III:
Edge fallowin Stack:
B_onengh=bwmorph(B, endpoints )
edgeflw_ind=find( B_onengh)
n=length(edgeflw_ind)
[edgeflw_y,edgeflw_x] = ind2sub(size(gim_G),edgeflw_ind)
edgeflw= zeros(n,3)
-It is an edge detection algorithm.
This algorithm prepare Best edge of Input Image by such method like NMS(None Maximum) , Hysteresis method and Laplace filter.
--II:
[M,N]=size(gim_G)
B = zeros(size(gim_G))
B( edgecnd(:,1) ) = 1
---III:
Edge fallowin Stack:
B_onengh=bwmorph(B, endpoints )
edgeflw_ind=find( B_onengh)
n=length(edgeflw_ind)
[edgeflw_y,edgeflw_x] = ind2sub(size(gim_G),edgeflw_ind)
edgeflw= zeros(n,3)
This algorithm prepare Best edge of Input Image by such method like NMS(None Maximum) , Hysteresis method and Laplace filter.
--II:
[M,N]=size(gim_G)
B = zeros(size(gim_G))
B( edgecnd(:,1) ) = 1
---III:
Edge fallowin Stack:
B_onengh=bwmorph(B, endpoints )
edgeflw_ind=find( B_onengh)
n=length(edgeflw_ind)
[edgeflw_y,edgeflw_x] = ind2sub(size(gim_G),edgeflw_ind)
edgeflw= zeros(n,3)
-It is an edge detection algorithm.
This algorithm prepare Best edge of Input Image by such method like NMS(None Maximum) , Hysteresis method and Laplace filter.
--II:
[M,N]=size(gim_G)
B = zeros(size(gim_G))
B( edgecnd(:,1) ) = 1
---III:
Edge fallowin Stack:
B_onengh=bwmorph(B, endpoints )
edgeflw_ind=find( B_onengh)
n=length(edgeflw_ind)
[edgeflw_y,edgeflw_x] = ind2sub(size(gim_G),edgeflw_ind)
edgeflw= zeros(n,3)
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EdgeFollowing.m