How to apply a Color Thresholder function in Image Batch Processor

How to apply a Color Thresholder function in Image Batch Processor to get masked RGB Images instead of binary ones?

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 07-Oct-2021
%------------------------------------------------------
% Convert RGB image to chosen color space
I = RGB;
% Define thresholds for channel 1 based on histogram settings
channel1Min = 23.000;
channel1Max = 80.000;
% Define thresholds for channel 2 based on histogram settings
channel2Min = 33.000;
channel2Max = 84.000;
% Define thresholds for channel 3 based on histogram settings
channel3Min = 0.000;
channel3Max = 34.000;
% 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

However, when I apply this function for a batch of images in Image batch processor, I’m only getting the binary masks (the selected objects are white and a black background) as outputs.

Can you tell me how to get the objects in my image batch as RGB with black background?

NOTE:-

Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.

You need to call it in a loop over all your images, like

folder = pwd; % Whatever.
filePattern = fullfile(folder, '*.png');
fileList = dir(filePattern);
for k = 1 : numImages
% Read in original image
thisFileName = fullfile(fileList(k).folder, fileList(k).name);
fprintf('Reading "%s".\n', thisFileName);
rgbImage = imread(thisFileName);
% Do color segmentation.
[mask, maskedRGBImage] = createMask(rgbImage);
% Now display the three images
subplot(2, 2, 1);
imshow(rgbImage)
subplot(2, 2, 2);

SEE COMPLETE ANSWER CLICK THE LINK

--

--

--

Simple! That is me, a simple person. I am passionate about knowledge and reading. That’s why I have decided to write and share a bit of my life and thoughts to.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Should I host my app in the Cloud?

A Terraform Workflow Part 1: Packaging and Versioning

Conference Condensed: try! Swift 2019

Marc Aupont standing on stage at a podium giving a talk at a tech conference.

Free Online Games To Learn CSS

Terminal & GitHub — Let’s make it REALLY simple!

Pull Requests As A Team Sport

READ/DOWNLOAD$@ Mastering VMware vSphere 6.7 FULL

Why Must Scrum Masters Balance ‘Working with What They Have’ and ‘Pushing The Envelope’?

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Technical Source

Technical Source

Simple! That is me, a simple person. I am passionate about knowledge and reading. That’s why I have decided to write and share a bit of my life and thoughts to.

More from Medium

How to obtain an image from meshlsrm plot?

Install TensorFlow with GPU Acceleration Simultaneously for Windows and WSL Linux (1)

Writing paper, report or presentation using Pweave noweb syntax

How are GPUs used for Deep Learning?