How to find vertices of triangle approximated from binary image

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Kiran K
Kiran K 2022-12-22
评论： Kiran K 2022-12-26
The purpose is to analyse uniformity of images like below(The shape changes slightly based on device parameters).
I need to find the areas of 3 sub regions drawn by connecting centroid to 3 vertices.
The movement of centroid and variation in these sub areas are required for further analysis(with different device parameters).
For this, cordinates of vertices are required.
(Centroid is obtained from regionprop/blob analysis)
I know that this image is not in actual triangle shape. But is there any method to find the 3 vertices by any approximation method?
I could not find a solution with bounding box, bwboundaries...

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采纳的回答

Image Analyst
Image Analyst 2022-12-22
You can find the centroid, then the distance of the perimeter to the centroid and then call findpeaks on that distance to find the 3 vertexes. I do that in my attached demo.
  1 个评论
Kiran K
Kiran K 2022-12-26
This method was helpful to find the vertices.
In the attached image case, as the triangle edges are not sharp, all of the peaks on the distance array do not have high prominence. By adjusting the MinPeakProminence, it is able to identify the peaks.

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KSSV
KSSV 2022-12-22
Ran in:
I = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1239812/image.png') ;
[y,x] = find(I) ;
mx = mean(x) ; my = mean(y) ;
d = sqrt((mx-x).^2+(my-y).^2) ;
idx = isoutlier(d) ;
x(idx) =[] ; y(idx) =[] ;
idx = convhull(x,y) ;
x = x(idx) ; y = y(idx) ;
imshow(I)
hold on
plot(x,y,'.-r')

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