In the attached image,how do i find the co-ordinates of first letter(i.e. starting balck pixel of 'a') and co-ordinates of last letter?(i.e.last pixel of letter 'e') Please help me Thank you
MATLAB: How to find the co-ordinates in an image
imageimage processingImage Processing Toolboxocrpixel
Related Solutions
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 = 22;%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
folder = pwd;baseFileName = 'image.png';% Get the full filename, with path prepended.
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; endendgrayImage = 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, []);title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;hFig = gcf;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;%--------------------------------------------------------------------------------------------------------% SEGMENTATION OF IMAGE
% Get a binary image of just the blob and not including the black background or the white surround.
mask = grayImage > 0 & grayImage < 255; %imbinarize(grayImage);
subplot(2, 2, 2);imshow(mask, []);impixelinfo;title('Initial Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;% Display histogram of image but only the image within the mask
subplot(2, 3, 4);histogram(grayImage(mask), 0:255);grid on;title('Histogram of gray image', 'FontSize', fontSize);% Now get the threshold
thresh = 255 * graythresh(grayImage(mask))% Put a red line there at the threshold
xline(thresh, 'Color', 'r', 'LineWidth', 2);% Get a binary image of the bright stuff
brightStuff = grayImage >= thresh & mask;subplot(2, 3, 5);imshow(brightStuff, []);impixelinfo;title('Bright Pixels in Region', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;subplot(2, 3, 6);darkStuff = ~brightStuff & mask;imshow(darkStuff, []);impixelinfo;title('Dark Pixels in Region', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;
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 = 20;%===============================================================================
% Read in a gray scale demo image.
folder = pwd;baseFileName = 'microgripper_grayscale.jpg';% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);% Check if file exists.
if ~exist(fullFileName, 'file') % File doesn't exist -- didn't find it there. Check the search path for it.
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; endendgrayImage = imread(fullFileName);% Get the dimensions of the image.
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorChannels] = size(grayImage);if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Convert it to gray scale by taking only the green channel.
grayImage = grayImage(:, :, 2); % Take green channel.
end% Display the image.
subplot(2, 2, 1);imshow(grayImage, []);axis on;title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');% Crop the image
grayImage = grayImage(1:160,50:250);% Display the image.subplot(2, 2, 2);imshow(grayImage, []);axis on;title('Cropped Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');% 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') % Let's compute and display the histogram.
[pixelCount, grayLevels] = imhist(grayImage);subplot(2, 2, 3); bar(grayLevels, pixelCount); % Plot it as a bar chart.
grid on;title('Histogram of original image', 'FontSize', fontSize, 'Interpreter', 'None');xlabel('Gray Level', 'FontSize', fontSize);ylabel('Pixel Count', 'FontSize', fontSize);xlim([0 grayLevels(end)]); % Scale x axis manually.
% Get the average vertical profile
horizontalProfile = mean(grayImage, 1);% Plot the profile
subplot(2, 2, 4);plot(horizontalProfile, 'LineWidth', 2);grid on;title('Average Horizontal Profile', 'FontSize', fontSize, 'Interpreter', 'None');% Get the width of all the bright regions.
% First we need to binarize the profile.
binaryImage = horizontalProfile > 100;% Label the regions.
labeledRegions = bwlabel(binaryImage);% Make the area measurements, which is really the length of the region.
measurements = regionprops(labeledRegions, 'Area');% Get the width of the second region, which is the intergripper gap.
gripperGap = measurements(2).Area;% Tell user
message = sprintf('The average gap between the gripper fingers is %.3f pixels', gripperGap);uiwait(helpdlg(message));
Related Question
- Remove parts from Image and Fill Parts
- Detection of Particle Orientation
- Iterative threshold selection on an input gray-level image
- Crop dark area and display the face only
- How to display the input image, after when the threshold values exceeds certain limit
- Setting the position of an image in a figure
- Extract the largest object in the RGB image
Best Answer