Get the percentage of dark spots

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Chathurika Sandamali
Chathurika Sandamali am 8 Aug. 2021
I want measure the percentage of patches in the stick. I already find the patches but I cannot find the how many patches are selected (red color spots).
Below is my code. Please help to find the count.
Img=imread('Images\IMG_5058.jpg');
Gimg=rgb2gray(Img);
figure(1);imshow(Gimg);
figure(2);imshow(Img);
%grey point less than 95
BW=Gimg<95;
%Find Weighted Centroid of the chosen dots and plot them together with original image
rp=regionprops(BW,Gimg,'WeightedCentroid');
% disp(rp);
n=numel(rp);
disp(n);
for j=1:n
Position(j,1)=rp(j).WeightedCentroid(1);
% disp(Position(j,1));
Position(j,2)=rp(j).WeightedCentroid(2);
% disp(Position(j,2));
end
for i=1:n-1
if (Position(i+1,1)-Position(i,1))<5 || (Position(i+1,2)-Position(i,2))<5
Position(i+1,1)=1/2*(Position(i,1)+Position(i+1,1));
Position(i+1,2)=1/2*(Position(i,2)+Position(i+1,2));
Position(i,1)=0;Position(i,2)=0;
end
end
[m,n]=size(Position);
% fprintf('%d - %d\n', m,n);
figure(3);imshow(Img); axis image; hold on;
lunt=0;
for i=1:m
for j=1:n-1
arr(:, j) = plot(Position(i,j),Position(i,j+1),'r*')
% plot(x(idx),y(idx),'r','linewidth',3)
% display(arr);
end
end
% fprintf('%d - %d\n', m,n);
for x=1:Position
fprintf('%d\n', Position(:,x));
lunt = lunt+1;
fprintf('Patch count = %d\n', lunt);
end
sizeP = length(Position);
% fprintf('%d\n', Position);
Position(all(Position==0,2),:)=[];
display(Position);
% fprintf('%f\n', Position);
% Position = Position*2;
fprintf('count = %d\n', lunt);
fprintf('%d\n', pastCount);

Akzeptierte Antwort

Image Analyst
Image Analyst am 15 Aug. 2021
Try this:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 15;
baseFileName = 'IMG_5058.JPG';
fullFileName = fullfile('Images', baseFileName);
Img=imread(fullFileName);
Gimg=rgb2gray(Img);
figure(1);imshow(Gimg);
figure(2);imshow(Img);
%grey point less than 95
BW=Gimg<95;
%Find Weighted Centroid of the chosen dots and plot them together with original image
rp=regionprops(BW,Gimg,'WeightedCentroid');
% disp(rp);
n=numel(rp);
disp(n);
for j=1:n
Position(j,1)=rp(j).WeightedCentroid(1);
% disp(Position(j,1));
Position(j,2)=rp(j).WeightedCentroid(2);
% disp(Position(j,2));
end
for i=1:n-1
if (Position(i+1,1)-Position(i,1))<5 || (Position(i+1,2)-Position(i,2))<5
Position(i+1,1)=1/2*(Position(i,1)+Position(i+1,1));
Position(i+1,2)=1/2*(Position(i,2)+Position(i+1,2));
Position(i,1)=0;Position(i,2)=0;
end
end
[m,n]=size(Position);
% fprintf('%d - %d\n', m,n);
figure(3);imshow(Img); axis image; hold on;
lunt=0;
spotCount = 0;
for i=1:m
for j=1:n-1
arr(:, j) = plot(Position(i,j),Position(i,j+1),'r*');
% plot(x(idx),y(idx),'r','linewidth',3)
% display(arr);
spotCount = spotCount + 1;
end
end
% fprintf('%d - %d\n', m,n);
for x=1:Position
fprintf('%d\n', Position(:,x));
lunt = lunt+1;
fprintf('Patch count = %d\n', lunt);
end
sizeP = length(Position);
% fprintf('%d\n', Position);
Position(all(Position==0,2),:)=[];
display(Position);
% fprintf('%f\n', Position);
% Position = Position*2;
fprintf('Spot count = %d\n', spotCount);
fprintf('lunt = %d\n', lunt);
You get:
Spot count = 3089
lunt = 0
  7 Kommentare
Image Analyst
Image Analyst am 15 Aug. 2021
You can do
[rows, columns] = size(Position)
Chathurika Sandamali
Chathurika Sandamali am 15 Aug. 2021
I did that. Thank you. @Image Analyst

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Weitere Antworten (1)

darova
darova am 8 Aug. 2021
Use first matrix of an image (red channel)
A0 = imread('image.png');
A1 = ~im2bw(A0,0.8); % select the stick
A2 = A0(:,:,1) > 210; % select red dots and background
R = A1 & A2; % red dots
P = sum(R(:))/sum(A1(:)) % percentage
P = 0.1199
A00 = rgb2gray(A0);
imshow(A0)
imshow(R)
  4 Kommentare
Chathurika Sandamali
Chathurika Sandamali am 15 Aug. 2021
I input the attached image called 'IMG_5058.jpg'. Using that I cannot get an image with red spots. (A0 = imread('image.png');). Can you help me to resolve that also.
Image Analyst
Image Analyst am 15 Aug. 2021
Correct. That particular image does not have red spots on it. darova's code was meant for your images that DO have red spots on them (meaning actually burned into and part of the image), like the one in your original post. Those spots were made by you calling plot() to put a red spot on the point. So to count the number of red spots with your code, you just need to count the number of times you call plot().

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