Access MinFeretCoordinates data in regionprop table

How can I access each circle MinFeretCoordinates?

clc;
clear;
a = imread("circlesBrightDark.png");

bw = a < 50;
imshow(bw)
title("Image with Circles")

stats = regionprops("table",bw,"Centroid","MinFeretProperties", "MajorAxisLength","MinorAxisLength")

stats = 3×6 table
        Centroid        MajorAxisLength    MinorAxisLength    MinFeretDiameter    MinFeretAngle    MinFeretCoordinates
    ________________    _______________    _______________    ________________    _____________    ___________________

       300       120        79.517             79.517                79                -90            {2×2 double}    
    330.29    369.92        109.49              108.6               108                  0            {2×2 double}    
       450       240        99.465             99.465                99                -90            {2×2 double}    

Answer 1

[Matt J]

For example,

stats{1,'MinFeretCoordinates'}
stats{2,'MinFeretCoordinates'}
stats{3,'MinFeretCoordinates'}

[Ely Raz]

Thanks. How I can I get an access to the 4 numbers in each cell content {2×2 double}? they are all in one cell (1×1 cell array)

c1 = stats{1,'MinFeretCoordinates'}

[Matt J]

The same as any other cell, e.g.,

a = imread("circlesBrightDark.png");

bw = a < 50;
stats = regionprops("table",bw,"Centroid","MinFeretProperties",...
                              "MajorAxisLength","MinorAxisLength");

fourNumbers = stats{1,6}{1}

fourNumbers = 2×2

307.5000 80.5000 307.5000 159.5000

Answer 2

[Walter Roberson]

a = imread("circlesBrightDark.png");
bw = a < 50;
imshow(bw)
title("Image with Circles")
stats = regionprops("table",bw,"Centroid","MinFeretProperties", "MajorAxisLength","MinorAxisLength")

stats = 3×6 table
        Centroid        MajorAxisLength    MinorAxisLength    MinFeretDiameter    MinFeretAngle    MinFeretCoordinates
    ________________    _______________    _______________    ________________    _____________    ___________________

       300       120        79.517             79.517                79                -90            {2×2 double}    
    330.29    369.92        109.49              108.6               108                  0            {2×2 double}    
       450       240        99.465             99.465                99                -90            {2×2 double}    

%then
MFC = cat(3,stats.MinFeretCoordinates{:});

The result would be a 2 x 2 x N numeric array where N is the number of regions detected.

hold on; plot(squeeze(MFC(:,1,:)), squeeze(MFC(:,2,:)), 'r-')