Create Small Neighborhood of image

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I want to make small neighborhood of every pixel x. The small neighborhood has center x (pixel x be the center) in radius w.
Suppose w=5, so I have 5x5 small neighborhood with pixel x is the center of neighborhood.
How can I make it?
Thank you.

采纳的回答

Vinai Datta Thatiparthi
Hello Yohanes,
val = imread(' ... '); % Your input matrix/image
[xCoOrd, yCoOrd] = [ ... ] % Co-Ordinates of the center pixel
nbh = 5; % Neighborhood Size
For a square neighborhood, the variable roi will hold the intensity values of neighboring pixels.
limit = floor(nbh/2);
roi = val(xCoOrd-limit:xCoOrd+limit, yCoOrd-limit:yCoOrd+limit);
Additionally, if you want the positions of the neighbors in subscripts,
rowLen = [xCoOrd - limit: xCoOrd + limit]'; % Range of Rows
colLen = [yCoOrd - limit: yCoOrd + limit]; % Range of Columns
rowIdx = meshgrid(rowLen, 1:nbh)'; % All the X coordinates of neighbors
colIdx = meshgrid(colLen, 1:nbh); % All the Y coordinates of neighbors
Hope this helps!
  4 个评论
Yohanes Setiawan
Yohanes Setiawan 2020-2-12
编辑:Yohanes Setiawan 2020-2-12
Halo,
Thank you very much. Your answer is really help me.
For the edge cases, how if I use this:
a=xCoOrd-limit;
b=xCoOrd+limit;
c=yCoOrd-limit;
d=yCoOrd+limit;
[row col]= size(val);
if a<1
a=1;
end
if b>row
b=row;
end
if c<1
c=1;
end
if d>col
d=col;
end
Is that logical correct (especially in the neighborhood concept of image processing) for computing neighbor of a pixel? Or we need the padding as you give me the link for solution?
Vinai Datta Thatiparthi
Hey Yohanes,
Yes, this approach could work as well. Simple if-else statements checking for edge cases, and then assigning the neighbors (the ones that are beyond scope) NaN values.

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