Hello,
Im dealing with a problem with labeling any objects shown in an image. For example I have 1 square and 1 circle and want to measure it by size whether it is a circle or square. C_circle=(4⋅π^2⋅r^2)/(2⋅π⋅r)^2 =1 and when less than 1, it is a square.
So first I start with putting the to image to grey and binary.
Then to get the image objects i use:
cc = bwconncomp(BW)
cc
L = labelmatrix(cc);
But its always getting more objects than shown? Like for instance (image of a square and circle):
cc =
struct with fields:
Connectivity: 8
ImageSize: [463 621]
NumObjects: 3
PixelIdxList: {[1545×1 double] [18096×1 double] [123787]}
After that I use [B,L,N] = bwboundaries(BW); , but when I look for the number of objects in N, I always get the double amount of objects? Any ideas why?
Further on to get the stats of the image
stats= regionprops(L,'Centroid', 'Area', 'Perimeter');
Perimeter = cat(1,stats.Perimeter);
Area = cat(1,stats.Area);
Centroid = cat(1, stats.Centroid);
Now my last question how can i locate the object within the image and assign it? So I can give the objects names in a prompt
My full code:
clear
picture = imread('cirvier.jpg');
grijs = rgb2gray (picture);
% [height,width]=size(grijs);
% y=zeros(1,256);
c=double(grijs);
% Picture threshold/binair
BW = imbinarize(grijs);
cc = bwconncomp(BW)
cc
L = labelmatrix(cc);
% RGB_label = label2rgb(L, @copper, 'c', 'shuffle');
% imshow(RGB_label,'InitialMagnification','fit')
BW1 = BW;
BW2 = bwperim(BW,8);
figure
imshow(BW2);
%Get stats
[B,L,N] = bwboundaries(BW);
% objecten = N/2;
% disp (objecten);
stats= regionprops(L,'Centroid', 'Area', 'Perimeter');
Perimeter = cat(1,stats.Perimeter);
Area = cat(1,stats.Area);
Centroid = cat(1, stats.Centroid);
CircleMetric = (Perimeter.^2)./(4*pi*Area);
