I have a 256*256 matrix, some values are 0 (close the each other); and I find the coordinates' of 0 values.
% finding missing rows and cols: xi, yi
[row,col]=find(~X);
MIS=[row,col];
MISWO=[MIS zeros(size(MIS,1),1) ];
MISWO
...
168 224 0
169 224 0
170 224 0
171 224 0
172 224 0
173 224 0
174 224 0
Part of the X matrix:
0.57 0.58 0.00 0.55 0.54
0.55 0.54 0.00 0.55 0.52
0.56 0.55 0.00 0.55 0.53
0.56 0.55 0.00 0.53 0.52
0.56 0.00 0.00 0.53 0.54
0.55 0.00 0.00 0.53 0.52
0.55 0.00 0.00 0.55 0.51
0.55 0.00 0.00 0.53 0.51
0.56 0.00 0.00 0.51 0.53
0.55 0.00 0.00 0.51 0.51
0.55 0.00 0.00 0.51 0.49
0.55 0.00 0.00 0.52 0.49
0.56 0.00 0.53 0.51 0.48
My goal is finding the zero values 5-10 neighbors with coordinates and values.
Can anybody help me?
All the best
In order to find all nearest neighbors in a 5x5 box around each zero pixel we can use 2d convolution:
X1=conv2(double(~X),ones(5),'same')>0;
This yields a binary matrix with 1 in the places of ALL the nearest neighbors positions around zero pixels. finding the rows and cols for all the nearest neighbors without the zeros is just:
[row2 col2]=find(X1.*X);
Then the matrix that you want is:
MIS2=[row2 col2 X(row2, col2)];
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