How can to convert Color Image to grey scale image but not changing color of blue and orange loops in bowl?

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Hi There, I need to convert all the image to grey scale but also need the red and orange loops unchanged. I am trying an appraoch filtering hue but the output result is not that satisfying. looking for @Image Analyst guidence becuase he is champ and I am his fan
This course was forcefully assigned to us as corona lockdown happened without prior knowledge now I am stuck in these assignemnt
Thanks for help in advance
Here is my code,
I = imread('Cereal_noise.png');
I = im2double(I);
I_m = colorfilter(I,[150 20]);
imshow(I_m,[]);
function I = colorfilter(image, range)
% RGB to HSV conversion
I = rgb2hsv(image);
% Normalization range between 0 and 1
range = range./360;
% Mask creation
if(size(range,1) > 1), error('Error. Range matriz has too many rows.'); end
if(size(range,2) > 2), error('Error. Range matriz has too many columns.'); end
if(range(1) > range(2))
% Red hue case
mask = (I(:,:,1)>range(1) & (I(:,:,1)<=1)) + (I(:,:,1)<range(2) & (I(:,:,1)>=0));
else
% Regular case
mask = (I(:,:,1)>range(1)) & (I(:,:,1)<range(2));
end
% Saturation is modified according to the mask
I(:,:,2) = mask .* I(:,:,2);
% HSV to RGB conversion
I = hsv2rgb(I);
end

Accepted Answer

Image Analyst
Image Analyst on 2 Dec 2020
Edited: Image Analyst on 2 Dec 2020
Here is how I'd do it:
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 = [];
baseFileName = 'cereal1.png';
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;
end
end
% It's not an RGB image! It's an indexed image, so read in the indexed image...
rgbImage = imread(fullFileName);
[rows, columns, numberOfColorChannels] = size(rgbImage)
% Create a gray scale image
grayImage = rgb2gray(rgbImage);
% Display the test image.
subplot(2, 2, 1);
imshow(rgbImage, []);
axis('on', 'image');
caption = sprintf('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';
% Find a mask of just the white pixels.
fprintf('Masking image...\n');
[mask, maskedRGBImage] = createMask(rgbImage);
% Display the mask image.
subplot(2, 2, 2);
imshow(mask, []);
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
axis('on', 'image');
title('Initial Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Clean up the mask a bit by doing a morphological closing.
fprintf('Doing a morphological closing on the mask image...\n');
se = strel('disk', 2, 0);
mask = imclose(mask, se);
% Display the final mask image.
subplot(2, 2, 3);
imshow(mask, []);
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
axis('on', 'image');
title('Final Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
%-----------------------------------------------------------------------------------
% Make the mask p[ixels gray.
fprintf('Making non red/orange grayscale in the RGB image...\n');
% Get the individual RGB channels
[redChannel, greenChannel, blueChannel] = imsplit(rgbImage);
% Make the image grayscale in the mask regions
% Invert the mask to get non red/orange regions.
mask = ~mask;
redChannel(mask) = grayImage(mask);
greenChannel(mask) = grayImage(mask);
blueChannel(mask) = grayImage(mask);
% Recombine separate color channels into a single, true color RGB image.
filteredRGBImage = cat(3, redChannel, greenChannel, blueChannel);
% Display the initial mask image.
subplot(2, 2, 4);
imshow(filteredRGBImage, []);
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
axis('on', 'image');
title('Non-red/orange set to gray scale.', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
fprintf('Done running %s.m ...\n', mfilename);
msgbox('Done!');
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 02-Dec-2020
%------------------------------------------------------
% Convert RGB image to chosen color space
I = rgb2hsv(RGB);
% Define thresholds for channel 1 based on histogram settings
channel1Min = 0.908;
channel1Max = 0.113;
% Define thresholds for channel 2 based on histogram settings
channel2Min = 0.143;
channel2Max = 1.000;
% Define thresholds for channel 3 based on histogram settings
channel3Min = 0.425;
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
Here is the Color Thresholder, which is what I used to set the thresholds:

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