I'm attaching a point of care test strip image link, I want to select the rectangle portion containing control and test line for processing, How to automatically select roi without imcrop?
MATLAB: Select particular region of image without imcrop
Image Processing Toolboxselect roi in image
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
We have no idea what in that thing you want to segment out. So go here, find an algorithm, and code it up. If you still have questions, read this then come back.
Also see my Image Segmentation Tutorial where I "automatically" crop out things: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
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