How to detect a curve (surface roughness) from image?

10 次查看（过去 30 天）

Sepehr Simaafrookhteh 2021-4-4

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/792097-how-to-detect-a-curve-surface-roughness-from-image

评论： Sepehr Simaafrookhteh 2021-4-17

I am working with a stack of 2D projections from X-ray microCT. I am going to find the coordinates of surface roughnesses curvature on 2D images and then extend it to 3D to have a cloud of points.

Images are like this:

I used "edge" function with different methods, but the results are not perfect, there are some separated lines and noises. I appreicate any better solution for this purpose and how can I get the coordinates of the detected curve? I assume then I have to apply a loop to get the results for the whole volume.

Thank you in advance for your help/comments.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

darova 2021-4-4

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/792097-how-to-detect-a-curve-surface-roughness-from-image#answer_666637

编辑：darova 2021-4-4

binarize image first
remove noise using bwareaopen
use edge
remove noise if needed using bwareaopen

7 个评论
显示 5更早的评论隐藏 5更早的评论

darova 2021-4-6

在 MATLAB Online 中打开

Let's say A is your image

A = sprintf('image.png');        % read first image to get size
[m,n] = size(A);
ix1 = 1:n;                       % value for interpolation
Z = zeros(500,n);                % create matrix for 500 images profiles
for i = 1:500
    s = sprintf('image%d.png',i);
    A = imread(s);      % read binary image
    [~,y] = max(A);     % find max index (ones)
    ix = find(y);       % find non-zero elements
    y1 = interp1(ix,y(ix),x1);   % inteprolate zero values
    Z(i,:) = y1;        % fill 2d matrix
end
surf(Z)