Find the barycenter of luminance in an image
6 次查看(过去 30 天)
显示 更早的评论
I need to find the weighted center of luminosity of barycenter in an image. (the weighted L center in Lab a b)
2 个评论
采纳的回答
Image Analyst
2015-10-29
编辑:Image Analyst
2015-10-29
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 个评论
Walter Roberson
2015-10-30
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;
更多回答(1 个)
Image Analyst
2015-10-30
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.
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Image Segmentation and Analysis 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!