Error with image analysis

Question

Frank 2011-5-18

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/7682-error-with-image-analysis

Hello!

I've been trying to get this script working, but I don't know how. What it should be able to do is make the image black and white and be able to pick out the centroid of the object in the image.

Image

Code

i = imread('343A #1.tif');
j = size(i);
imtool(i);
for k = 1:j(1)
    for l = 1:j(2)
        if i(k,l,1) > 160 & i(k,l,2) > 160
            d(k,l) = 1;
        else
       d(k,l) = 0;
        end
    end
end
imtool(d);
label = bwlabel(d);
imagesc(label);
[label,num] = bwlabel(d,4);
stats = regionprops(label,'basic');
stats(1).Area
stats(1).Centroid
max_area = max([stats.Area]);
biggrain = find([stats.Area]== max_area);
stats(biggrain).Centroid

Error

??? Attempted to access i(2,51,2); index out of bounds because size(i)=[256,64,1].

Error in ==> TestingCentroid3 at 10 if i(k,l,1) > 160 & i(k,l,2) > 160

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Frank 2011-5-18

I've changed the image format to a tiff file to suit my problem better, however I am still receiving the same error.

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Answer 1

Sean de Wolski 2011-5-18

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/7682-error-with-image-analysis#answer_10566

在 MATLAB Online 中打开

i is apparently a 2d image. what is j (size(i))?

d = I > 160; %don't name your variables i,j as they are the sqrt(-1)

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Frank 2011-5-18

j = size(i); % compute the size of the ball

Sean de Wolski 2011-5-18

I meant what were the values...

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Answer 2

Frank 2011-5-18

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/7682-error-with-image-analysis#answer_10572

在 MATLAB Online 中打开

Got it.

clc;
close all;
i = imread('343c001.tif');
j = size(i);
imtool(i);
for k = 1:j(1)
    for l = 1:j(2)
          if i(k,l,1) > 160 & i(k,l) > 160  %I removed the 2
              d(k,l) = 1;
          else
         d(k,l,1) = 0;
          end
      end
  end
  imtool(d);
label = bwlabel(d);
imagesc(label);
[label,num] = bwlabel(d,4);
stats = regionprops(label,'basic');
stats(1).Area
stats(1).Centroid
max_area = max([stats.Area]);
biggrain = find([stats.Area]== max_area);
stats(biggrain).Centroid