i have used regionprops for creation of boundingbox. thnks for the help in advance.
MATLAB: I have created bounding box in the image, now i want to separate the two of the boxes differently , how could i do so ?
bounding boxImage Processing Toolboximage segmentationregionprops
Related Solutions
Mohsina, 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 short g;format compact;fontSize = 25;%===============================================================================
% Get the name of the image the user wants to use.
baseFileName = 'image1.png';% Get the full filename, with path prepended.
folder = []; % Determine where demo folder is (works with all versions).
fullFileName = fullfile(folder, baseFileName);%===============================================================================% Read in a demo image.
grayImage = 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(grayImage)if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
grayImage = rgb2gray(grayImage); % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
% grayImage = grayImage(:, :, 2); % Take green channel.
end% Display the image.
subplot(2, 2, 1);imshow(grayImage, []);axis on;axis image;caption = sprintf('Original Gray Scale Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');drawnow;hp = impixelinfo();% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0, 1, 1]);% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')drawnow;% Create binary image of the black blobs from grayscale image.
binaryImage = grayImage == 0;% Get rid of the background.
binaryImage = imclearborder(binaryImage);% Display the image.subplot(2, 2, 2);imshow(binaryImage, []);axis on;axis image;title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');% Label the blobs
[labeledImage, numBlobs] = bwlabel(binaryImage);% Display the image.subplot(2, 2, 2);imshow(binaryImage, []);axis on;axis image;title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');% Let's assign each blob a different color to visually show the user the distinct blobs.
coloredLabels = label2rgb (labeledImage, 'hsv', 'k', 'shuffle'); % pseudo random color labels
% coloredLabels is an RGB image. We could have applied a colormap instead (but only with R2014b and later)
subplot(2, 2, 3);imshow(coloredLabels);axis on;axis image; % Make sure image is not artificially stretched because of screen's aspect ratio.
caption = sprintf('Pseudo colored labels, from label2rgb().');title(caption, 'FontSize', fontSize);drawnow;% Make measurements of bounding box.
props = regionprops(labeledImage, 'BoundingBox');% Display the image.subplot(2, 2, 4);imshow(binaryImage, []);axis on;axis image;title('Binary Image with Boxes', 'FontSize', fontSize, 'Interpreter', 'None');% Display the bounding boxes around them.
hold on;for k = 1 : numBlobs thisBoundingBox = props(k).BoundingBox rectangle('Position', thisBoundingBox, ... 'EdgeColor', 'c', 'LineWidth', 2);end
See my Image Segmentation Tutorial: http://www.mathworks.com/matlabcentral/fileexchange/25157-image-segmentation-tutorial-blobsdemo. It will show you how you can threshold objects on a dark background and crop out their bounding box to separate images. Almost exactly what you want to do, except that you have color images. Basically you want to extract the color channels:
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);greenChannel = rgbImage(:, :, 2);blueChannel = rgbImage(:, :, 3);Then create a binary image:
binaryImage = redChannel == 0 & greenChannel == 0 & blueChannel == 0;Then label pass it into regionprops
blobMeasurements = regionprops(binaryImage, 'BoundingBox');Then use a loop that for each region, use imcrop() to extract the bounding box from the original rgb image and use imwrite() to save it to a disk file. Here's the relevant code from my tutorial, which I'm sure a smart guy like you can modify - just take out the stuff about what coin type it is, and add a call to imwrite().
message = sprintf('Would you like to crop out each coin to individual images?');reply = questdlg(message, 'Extract Individual Images?', 'Yes', 'No', 'Yes');% Note: reply will = '' for Upper right X, 'Yes' for Yes, and 'No' for No.
if strcmpi(reply, 'Yes') figure; % Maximize the figure window.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]); for k = 1 : numberOfBlobs % Loop through all blobs.
% Find the bounding box of each blob.
thisBlobsBoundingBox = blobMeasurements(k).BoundingBox; % Get list of pixels in current blob.
% Extract out this coin into it's own image.
subImage = imcrop(originalImage, thisBlobsBoundingBox); % Determine if it's a dime (small) or a nickel (large coin).
if blobMeasurements(k).Area > 2200 coinType = 'nickel'; else coinType = 'dime'; end % Display the image with informative caption.
subplot(3, 4, k); imshow(subImage); caption = sprintf('Coin #%d is a %s.\nDiameter = %.1f pixels\nArea = %d pixels', ... k, coinType, blobECD(k), blobMeasurements(k).Area); title(caption, 'FontSize', 14); end
Best Answer