Reputation: 12618
I'm extracting the outline of blob the following way:
bw = im2bw(image, threshold);
boundaries = bwboundaries(bw);
plot(boundaries(:, 2), boundaries(:, 1), 'k', 'LineWidth', 2);
what I would like to do now, is to scale boundaries
so that I can plot a smaller version of the boundaries
inside the original boundaries
. Is there an easy way to do this?
Here's an example on what the result should look like: black is the original bounding box, and red is the same bounding box, just scaled (but with same center as black box).
EDIT: I guess I can scale each point individually, but then I still have to recenter the coordinates. Is there a better way of doing this?
scale = 0.7
nbr_points = size(b, 1);
b_min = nan(nbr_points, 2);
for k = 1 : nbr_points
b_min(k, :) = ([scale 0; 0 scale] * b(k, 1:2)')';
end
Upvotes: 2
Views: 3727
Reputation: 546
Just creating a function which does this should be easy.
function scaledB = scaleBoundaries(B,scaleFactor)
% B is a cell array of boundaries. The output is a cell array
% containing the scaled boundaries, with the same center of mass
% as the input boundaries.
%%
for k = 1:length(B)
scaledB{k} = B{k} .* scaleFactor;
com = mean(B{k}); % Take the center of mass of each boundary
sCom = mean(scaledB{k}); % Take the center of mass of each scaled boundary
difference = com-sCom; % Difference between the centers of mass
% Recenter the scaled boundaries, by adding the difference in the
% centers of mass to the scaled boundaries:
scaledB{k}(:,1) = scaledB{k}(:,1) + difference(1);
scaledB{k}(:,2) = scaledB{k}(:,2) + difference(2);
end
end
Or did you want to avoid something unoptimized for speed purposes?
Upvotes: 1