Find the barycenter of luminance in an image
6 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
David Corwin
il 29 Ott 2015
Commentato: David Corwin
il 30 Ott 2015
I need to find the weighted center of luminosity of barycenter in an image. (the weighted L center in Lab a b)
2 Commenti
Risposta accettata
Image Analyst
il 29 Ott 2015
Modificato: Image Analyst
il 29 Ott 2015
Since R2008a (or maybe b) regionprops has had a "WeightedCentroid" property that you can ask for. So pass in the L channel and ask for that if you want the centroid weighted by the L value.
If you want it weighted by the distance, that's the inertia or moment. See https://en.wikipedia.org/wiki/Image_moment I don't think there's anything built in for that but you can ask for the PixelList which is the location of every pixel in the blob and you can easily calculate it yourself.
6 Commenti
Walter Roberson
il 30 Ott 2015
No, L is not the label matrix here. L is the luminance channel, in accordance with IA's earlier "So pass in the L channel and ask for that if you want the centroid weighted by the L value."
A = imread('figure2.jpg');
LAB = rgb2lab(A);
L = LAB(:,:,1);
imageprops = regionprops(L, 'WeightedCentroid');
result = imageprops.WeightedCentroid;
If you want the "top half" then pass in the top half,
imageprops = regionprops(L(1:end/2,:), 'WeightedCentroid');
upperCent = imageprops.WeightedCentroid;
imageprops = regionprops(L(ceil(end/2):end,:), 'WeightedCentroid');
lowerCent = imageprops.WeightedCentroid;
Più risposte (1)
Image Analyst
il 30 Ott 2015
David:
I wrote a demo for you to compute the first 5x5 central spatial moments, as given by the Wikipedia page https://en.wikipedia.org/wiki/Image_moment. See attached m-file. The key code is this:
% Sum up the powers of the gray levels, weighted by the distance from the centroids.
% Ref: https://en.wikipedia.org/wiki/Image_moment
highestMomentNumber = 5;
mu = zeros(highestMomentNumber, highestMomentNumber); % Allocate up to 5 moment (probably way overkill).
for q = 1 : size(mu, 2) % in the column, x direction.
for p = 1 : size(mu, 1) % in the row, y direction
for location = 1 : length(allX)
% For every pixel in this blob....
% Sum up for moment "mu sub pq" - i.e. the pqth moment.
thisGrayLevel = grayImage(allY(location), allX(location));
mu(p, q) = mu(p, q) + ...
(allX(location) - xCenter).^q * ...
(allY(location) - yCenter).^p * ...
double(thisGrayLevel);
end
end
end
See file for a complete demo.
6 Commenti
Vedere anche
Categorie
Scopri di più su Image Segmentation and Analysis in Help Center e File Exchange
Prodotti
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!