Here I attached the warning problem of error. How can I solve this? My source code has been attached here.
MATLAB: How to solve this problem
digital image processingImage Processing Toolboximage segmentationMATLAB
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Try this for starters, and tweak as needed.
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;% Get the base filename.
baseFileName = 'segmented.jpg'; % Assign the one on the button that they clicked on.
% Get the full filename, with path prepended.
folder = pwd; % Current folder
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; endend% Read in image.
originalImage = imread(fullFileName);% Get the dimensions of the image.
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(originalImage);if numberOfColorBands > 1 % It's not really gray scale like we expected - it's color.
% Convert it to gray scale by taking only the blue channel.
grayImage = min(originalImage, [], 3); % Take blue channel.
else % It's already grayscale
grayImage = originalImage;end% Display the original image.
subplot(2, 3, 1);imshow(originalImage);axis on;title('Original Image', 'FontSize', fontSize, 'Interpreter', 'None');% Display the original image.subplot(2, 3, 2);% Crop off white surround.
grayImage = grayImage(74:465, 430:851);imshow(grayImage, []);axis on;title('Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');drawnow;hp = impixelinfo(); % Let user ouse around over image and get gray levels.
% 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;% Let's compute and display the histogram.
subplot(2, 3, 3);histogram(grayImage);xlim([0, 255]);grid on;title('Intensity Histogram of Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');xlabel('Gray Level', 'FontSize', fontSize);ylabel('Pixel Count', 'FontSize', fontSize);% Need to get the background (light stuff) but not get any light stuff in the bottle.
% Threshold to find dark.
binaryImage = grayImage > 80 & grayImage < 160;% Extract the largest blob only
binaryImage = bwareafilt(binaryImage, 1);% Fill any holes.
% binaryImage = imfill(binaryImage, 'holes');
% Invert to get the holes.
binaryImage = ~binaryImage;% Extract the two largest blobs
binaryImage = bwareafilt(binaryImage, 2);% Display the binary image.
subplot(2, 3, 4);imshow(binaryImage, []);axis on;title('Binary Background Image', 'FontSize', fontSize);% Display the binary image.subplot(2, 3, 5);imshow(~binaryImage, []);% Invert and remove blobs touching border.
binaryImage = imclearborder(~binaryImage, 4);% Extract the largest blob
binaryImage = bwareafilt(binaryImage, 1);% Display the binary image.subplot(2, 3, 5);imshow(binaryImage, []);axis on;title('Binary Background Image', 'FontSize', fontSize);
Use regionprops():
% Code to detect angle of a blob.
% By Image Analyst
clc; % Clear the command window.
fprintf('Beginning to run %s.m ...\n', mfilename);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;%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
folder = pwd;baseFileName = 'ZoomIn_100f.jpg';% 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(:, :, 1); % Take red channel.
end% Crop it to the right lines.
% grayImage = grayImage(1750:2250, 800:end);
subplot(2, 2, 1);imshow(grayImage, []);impixelinfo;title('Red Channel Image', 'FontSize', fontSize, 'Interpreter', 'None');hFig = gcf;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;subplot(2, 2, 2);imhist(grayImage);grid on;title('Histogram of Original Image', 'FontSize', fontSize, 'Interpreter', 'None');%--------------------------------------------------------------------------------------------------------% SEGMENTATION OF IMAGE
% Get a binary image by interactively thresholding using the function at
% https://www.mathworks.com/matlabcentral/fileexchange/29372-thresholding-an-image
% 91 seems good for this image.
lowThreshold = 91;highThreshold = 255;% [lowThreshold, highThreshold] = threshold(lowThreshold, highThreshold, grayImage)
mask = grayImage > lowThreshold & grayImage < highThreshold;mask = imclearborder(mask);mask = imfill(mask, 'holes');% Take largest blobs.
mask = bwareafilt(mask, 1);subplot(2, 2, 3);imshow(mask, []);impixelinfo;caption = sprintf('Mask of White SemiCircles');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');% Measure centroid and orientation.
props = regionprops(mask, 'Centroid', 'Orientation')xCenter = props.Centroid(1);yCenter = props.Centroid(2);hold on;plot(xCenter, yCenter, 'r+', 'MarkerSize', 40, 'LineWidth', 2);% Display the masked image.
subplot(2, 2, 4);overlayImage = imoverlay(grayImage, mask, 'r');imshow(overlayImage, []);impixelinfo;caption = sprintf('Masked Image. Angle = %.2f degrees.', props.Orientation);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');hFig = gcf;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.drawnow;% Make a line at that angle at the centroid.
slope = tan(props.Orientation)x = 1 : columns;y = slope * (x - xCenter) + yCenter;hold on;plot(x, y, 'r-', 'LineWidth', 2);fprintf('Done running %s.m ...\n', mfilename);
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