Detect Shape in Image and How many times shapes come in Image

Hello Everyone, I hope you are doing well.

I have the following image i want to detect the shape in the image and count how many time shapes exist for example in image im_003002 (1) The peroidic shape which comes six time, i want to detect the shape and show the shapes exist 6 time in the image. similarly in im_005001 (1) the shapes comes 7 times

Can any body help me in this please

[KSSV]

You have asked this question already.

[Med Future]

@KSSV, I can't get answer there that's why I asked again.

Answer 1

[Image Analyst]

Did you try bwlabel()? If mask is the second image with the slanted lines:

[labeledImage, count] = bwlabel(mask);

[Med Future]

No i have not tried. what is the output of bwlabel?

[Image Analyst]

It's a labeled matrix where every contiguous region is assigned an "ID" number (label), and a count of the number of contiguous regions that there are. You've been doing imaging a while now so you've probably used it already.

[Med Future]

@Image Analyst can you share full code and plot the result?

[Image Analyst]

Nothing to plot. The result is a single number: the count

mask = imread(filename) > 0;
[labeledImage, count] = bwlabel(mask);
fprintf('There are %d blobs in the image', count);

[Med Future]

@Image Analyst the code shows

There are 1 blobs in the image

shapes exist 6 time

mask = imread('im_003002 (1).png') > 0;
[labeledImage, count] = bwlabel(mask);
fprintf('There are %d blobs in the image', count);

[Image Analyst]

Here is my code with your image. You can see there are 7 regions.

% Demo by Image Analyst
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 = 16;
markerSize = 40;
%--------------------------------------------------------------------------------------------------------
%    READ IN IMAGE
folder = pwd;
baseFileName = 'im_005001 (1).png';
% baseFileName = 'image_2732.png';
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
    % The file doesn't exist -- didn't find it there in that folder.
    % Check the entire search path (other folders) for the file by stripping off the folder.
    fullFileNameOnSearchPath = baseFileName; % No path this time.
    if ~exist(fullFileNameOnSearchPath, 'file')
        % Still didn't find it.  Alert user.
        errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName);
        uiwait(warndlg(errorMessage));
        return;
    end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(rgbImage)
if numberOfColorChannels > 1
    % It's not really gray scale like we expected - it's color.
    fprintf('It is not really gray scale like we expected - it is color\n');
    % Extract the blue channel.
    grayImage = rgbImage(:, :, 3);
else
    grayImage = rgbImage;
end
%--------------------------------------------------------------------------------------------------------
% Display the image.
subplot(2, 1, 1);
imshow(grayImage);
impixelinfo;
axis('on', 'image');
title('Original Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Maximize window.
g = gcf;
g.WindowState = 'maximized';
drawnow;
%--------------------------------------------------------------------------------------------------------
% Binarize the image to get a mask.
mask = imbinarize(grayImage);
% Display mask image.
subplot(2, 1, 2);
imshow(mask);
hold on;
impixelinfo;
axis('on', 'image');
drawnow;
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Count the number of slanted regions.
[labeledImage, numRegions] = bwlabel(mask);
% Tell the user
message = sprintf('Number of regions = %d', numRegions);
title(message, 'FontSize', fontSize, 'Interpreter', 'None');
uiwait(helpdlg(message))

[Med Future]

@Image Analyst Its not working on second image, I want it to work for the second image eg im_003002 (1)