how to select the object with the largest area?
Solution 1
use Area
and PixelIdxList
in regionprops, this means to edit the to the following line:
stat = regionprops(Ilabel,'Centroid','Area','PixelIdxList');
The maximum area and it's struct index is given by
[maxValue,index] = max([stat.Area]);
The linear index of pixels of each area is given by `stat.PixelIdxList', you can use them to delete that given area (I assume this means to assign zeros to it)
YourImage(stat(index).PixelIdxList)=0;
Solution 2
For Neglecting all others except one..
Similar to the above answer.
But instead of deleting the large region, I delete all regions except large one.
stat=regionprops(label,'Centroid','Area','PixelIdxList');
[maxValue,index] = max([stat.Area]);
[rw col]=size(stat);
for i=1:rw
if (i~=index)
BW(stat(i).PixelIdxList)=0; % Remove all small regions except large area index
end
end
figure,imshow(BW);
user3112838
Updated on June 19, 2022Comments
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user3112838 almost 2 years
I have used
bwconvhull
to detect a certain part of the image, as you can see in the image, there are number of objects with certain centroids. What I want to do is to detect the object with the largest area (1st big one from the left) and neglect the others.Which method should I follow?
I will be very thankful for your help. The following is the code (it's very roughly written as I am still working on it. Sorry for any inconvenience in advance)
CH_objects = bwconvhull(c,'objects'); imshow(CH_objects); title('Objects Convex Hull'); bwarea(CH_objects) Ilabel = bwlabel(CH_objects,8); stat = regionprops(Ilabel,'centroid'); imshow(CH_objects); hold on; for x = 1:numel(stat) plot(stat(x).Centroid(1),stat(x).Centroid(2),'ro'); end
Here is the image.
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swapnil gandhi over 7 yearsVery useful. Thanks