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How do I calculate the spreading length of an image of a droplet spreading and find the ROI and automate the process

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I have a series of images of droplet impacting on another droplet. The images are in RGB color and I converted to grayscale and binarizeid it. Now from the code (using 'ginput') given below I could calculate the pixel distance from end to end of the horizontal spreading part. But I have a series (50 images) of images where the spread length is changing continously. Hence I need to identify a ROI and from that calculate the spreading distance automatically. How do I do so? Does 'ginput' give the pixel distance accurately after pointing and clicking on the two extremeties of white zone in the binary image?
clc;clear;
folder = 'C:\Users\Pragyan\Documents\MATLAB\Image processing';
baseFileName = '0.25_cmc_2mm_8_bit.jpg';
fullFileName = fullfile(folder, baseFileName);
[grayImage,map] = imread(fullFileName);
%impixelinfo;
grayImage = rgb2gray(grayImage);
imshow(grayImage,map)
binaryImage = ~imbinarize(grayImage);
imshow(binaryImage)
[x y]=ginput(6);
x=round(x);
y=round(y);
image_dist=sqrt((x(2)^2-x(1)^2)+y(2)^2-y(1)^2)
8 bit gray image spreading length binary
  3 Commenti
naygarp
naygarp il 9 Giu 2021
using regionprops the width and height of the blob could be acquired also probably if I use for loops then the width calculation for whole sequence of images could be automated. But I am having a problem of thresholding as a few more white spots are left on the binary image as a result the blob isn't getting singled out and BoundingBox is not able to capture the region of interest. I am attaching the images.
clc;clear;
folder = 'C:\Users\Pragyan\Documents\MATLAB\Image processing';
baseFileName = '0.25 cmc 2mm with scale bar.jpg';
fullFileName = fullfile(folder, baseFileName);
[grayImage,map] = imread(fullFileName);
%impixelinfo;
grayImage = rgb2gray(grayImage);
%size(grayImage)
imshow(grayImage,map)
binaryImage = ~imbinarize(grayImage);
imshow(binaryImage)
binimg2 = imfill(binaryImage,'holes');
imshow(binimg2)
[L n]= bwlabel(binimg2);
blobs= regionprops(L,'BoundingBox');
blobs(1).BoundingBox
rectangle('Position',blobs(1).BoundingBox,'Edgecolor','g')

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Image Analyst
Image Analyst il 9 Giu 2021
Modificato: Image Analyst il 10 Giu 2021
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 = 18;
folder = 'C:\Users\Pragyan\Documents\MATLAB\Image processing';
baseFileName = '0.25_cmc_2mm_8_bit.jpg';
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~isfile(fullFileName)
% 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;
end
fullFileName = fullFileNameOnSearchPath;
end
[grayImage,map] = imread(fullFileName);
grayImage = rgb2gray(grayImage);
imshow(grayImage,map)
binaryImage = ~imbinarize(grayImage);
% Erase from line 758 down:
binaryImage(758:end, :) = false;
% Fill holes.
binaryImage = imfill(binaryImage, 'holes');
% Get rid of any msall noise blobs.
binaryImage = bwareafilt(binaryImage, 1); % Take largest blob only.
imshow(binaryImage)
impixelinfo;
props = regionprops(binaryImage, 'BoundingBox');
spreadingWidth = props.BoundingBox(3)
rectangle('Position', props.BoundingBox, 'Edgecolor', 'g', 'LineWidth', 2)
fprintf('Done running %s.m ...\n', mfilename);
If it doesn't work, let me know what went wrong.
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