Pls can someone help me with Mat-lab Image Binarization code? Thanks.
MATLAB: Image Binarization
image processing
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You can use graythresh() and bwthresh() which use 0-1, but I think it's simpler to just do
binaryImage = grayImage < grayLevelThreshold;where grayLevelThreshold is just the regular threshold (0-255 or 0-65535) rather than anormalized number in the range 0-1.
I would try to have the blue tape completely surround the hair and then do color segmentation on the blue tape. Then pick the blobs that are not blue tape and get their centroids. The blob with the centroid closest to the middle of the image is the hair mask.
% Demo to mask of hair switch.
% By Image Analyst.
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clearvars;workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 16;fprintf('Beginning to run %s.m ...\n', mfilename);%-----------------------------------------------------------------------------------------------------------------------------------
% Read in image.
folder = pwd;baseFileName = 'image.jpeg';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; endendrgbImage = imread(fullFileName);[rows, columns, numberOfColorChannels] = size(rgbImage);% Display the RGB image full size.
subplot(2, 2, 1);imshow(rgbImage, []);axis('on', 'image');caption = sprintf('Original Image : "%s"', baseFileName);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');drawnow;hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
% Set up figure properties:
% Enlarge figure to full screen.
hFig1 = gcf;hFig1.Units = 'Normalized';hFig1.WindowState = 'maximized';% 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.
hFig1.Name = 'Demo by Image Analyst';% Do color segmentation to get the blue tape.
[BW,maskedRGBImage] = createMask(rgbImage);mask = ~BW;% Get rid of blobs smaller than 10,000 pixels.
mask = bwareaopen(mask, 10000);% Display the binary image.
subplot(2, 2, 2);imshow(mask, []);axis('on', 'image');caption = sprintf(' Mask Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');drawnow;hp = impixelinfo(); % Set up status line to see values when you mouse over the image.% Get the area and centroid.
labeledImage = bwlabel(mask);props = regionprops(labeledImage, 'Area', 'Centroid');allAreas = [props.Area]xy = vertcat(props.Centroid);% Find out which one is closest to the middle.
x = xy(:, 1);middlex = columns/2distanceFromMiddle = abs(x - middlex)[minDistance, indexOfMiddle] = min(distanceFromMiddle)% Keep the middle blob.
hairMask = ismember(labeledImage, indexOfMiddle);hairMask = imfill(hairMask, 'holes');% Display the RGB image full size.subplot(2, 2, 3);imshow(hairMask, []);axis('on', 'image');caption = sprintf('Hair Mask');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');drawnow;%=====================================================================================================
% function [BW,maskedRGBImage] = createMask(RGB)
%createMask Threshold RGB image using auto-generated code from colorThresholder app.
% [BW,MASKEDRGBIMAGE] = createMask(RGB) thresholds image RGB using
% auto-generated code from the colorThresholder app. The colorspace and
% range for each channel of the colorspace were set within the app. The
% segmentation mask is returned in BW, and a composite of the mask and
% original RGB images is returned in maskedRGBImage.
% Auto-generated by colorThresholder app on 06-Jul-2020
%------------------------------------------------------
% Convert RGB image to chosen color space
I = rgb2hsv(RGB);% Define thresholds for channel 1 based on histogram settings
channel1Min = 0.410;channel1Max = 0.670;% Define thresholds for channel 2 based on histogram settings
channel2Min = 0.000;channel2Max = 1.000;% Define thresholds for channel 3 based on histogram settings
channel3Min = 0.000;channel3Max = 1.000;% Create mask based on chosen histogram thresholds
sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ... (I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ... (I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);BW = sliderBW;% Initialize output masked image based on input image.
maskedRGBImage = RGB;% Set background pixels where BW is false to zero.
maskedRGBImage(repmat(~BW,[1 1 3])) = 0;end
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