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NARVAL >> NL_V: Vision > NL_V_Erosion

NL_V_Erosion

Perform the morphological erosion operation on a binary image.

Calling Sequence

[E] = NL_V_Erosion(I)

Arguments

I :

Binary matrix.

E :

Erosion matrix.

Description

NL_V_Erosion performs the morphological erosion operation on the binary image I (WIKIPEDIA). The output matrix is stored in E. For each vertex I(i,j), its direct 1-pixel neighborhood (no diagonal) N=[I(i,j-1:j+1) im(i-1:i+1,j)'] is analysed. E(i,j) is equal to the minimal of I(N).

Examples

dt=getdate();
seed=dt(10);
rand('seed',seed);//initialization of the random values generator
no=4;//quantity of obstacles (rectangle)
L=1000;//squared area side
hm=100;//minimal height
hM=250;//maximal height
wm=100;//minimal width
wM=250;//maximal width
Al=[0 %pi/2 %pi -%pi/2];//available angles for obstacles
[Xs,Ys,X,Y,H,W,A]=NL_V_RectanglesCorners(no,L,hm,hM,wm,wM);//generation of obstacles
[P]=NL_V_PotentialRectangles(X,Y,H,W,A,L);//generation of obstacle matrix
z=10;//zoom factor
o=2;// 1=mean, 2=max, 3=min, 4=median
Pz=NL_V_MRA(P,z,o);//scale modification
[Pzx,Pzy]=size(Pz);//image size
w1=1;//window index
w2=2;//window index
scf(w1);
clf(w1);
grayplot(1:Pzx,1:Pzy,Pz);//graph visualization
xset("colormap",graycolormap(128));
scf(w2);
clf(w2);
[PEz]=NL_V_Erosion(Pz);//application of NL_V_Erosion
Cont=Pz-PEz;//contour 1
[Contx,Conty]=size(Cont);//image size
grayplot(1:L/z,1:L/z,Cont);//graph visualization
xset("colormap",graycolormap(128));

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