Find centroid of binary image

63 次查看（过去 30 天）

显示更早的评论

Adisorn Phanukthong 2017-1-29

2
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/322369-find-centroid-of-binary-image

评论： DGM 2024-5-20

I want to know find centroid area in picture output show X,Y axis

Sample

centroid x 60 centroid y 40

回答（2 个）

Guillaume 2017-1-29

2
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/322369-find-centroid-of-binary-image#answer_252454

在 MATLAB Online 中打开

Either use regionprops:

stats = regionprops(yourimage);
centroid = stats.centroid;

Or calculate it yourself according to its definition, the mean of the pixel coordinates:

[y, x] = ndgrid(1:size(yourimage, 1), 1:size(yourimage, 2));
centroid = mean([x(logical(yourimage)), y(logical(yourimage))]);

12 个评论
显示 10更早的评论隐藏 10更早的评论

DGM 2024-5-17

编辑：DGM 2024-5-17

在 MATLAB Online 中打开

image.jpeg

Your image has more than one page. In other words, it's either a multichannel (e.g. RGB) image, or it's a volumetric image of some sort. If it's RGB, use im2gray() or some other method to reduce it to grayscale. If it's volumetric, that's another story.

I would also argue that using logical() for this task is a bad idea -- or at least it can be. This is something that I explicitly mention in the synopsis for MIMT imcast(). If the image isn't a clean, perfectly binarized image already, logical() will produce unexpected results which are conceptually inconsistent across input classes. If you want to use a binary image for logical addressing, reduce it to a logical mask using some deliberate approach (e.g. imbinarize(), or simple thresholding) instead of trusting that changing the class will coincidentally binarize it as you intend.

Consider the given image.

% this used to be a binary image

% but it's been damaged by lossy compression

inpict = imread('image.jpeg'); % uint8, single-channel

imshow(inpict,'border','tight')

xlim([700 1000])

ylim([175 675])

% two different ways to reduce the numeric image to logical

% this emphasizes all the artifacts, effectively dilating the image

maskA = logical(inpict); % select everything except exactly zero

imshow(maskA,'border','tight')

xlim([700 1000])

ylim([175 675])

% this is more appropriate, but the threshold value depends on the numeric class

maskB = inpict >= 128; % split the available dynamic range

imshow(maskB,'border','tight')

xlim([700 1000])

ylim([175 675])

Bradley Rogers 2024-5-19

Got codegeneration and tried to make a C++ file, Centroid cant be converted over?

DGM 2024-5-20

I'm going to have to tap out once it comes to code generation stuff. I'm not familiar with what will build. I haven't really touched it, and I'm running old enough stuff that it would be moot even if I had.

请先登录，再进行评论。