May i know how to find for numYellowPixel in this code

1 Ansicht (letzte 30 Tage)
Iszuzuldin amirull bin mohd janudin
Bearbeitet: Image Analyst am 11 Jun. 2021
clc
clear
clear all
images= []
webcamlist()
cam= webcam(1)
preview(cam)
pause(2);
images= snapshot(cam)
imshow(images)
r_channel= images(:,:,1);
g_channel= images(:,:,2);
b_channel= images(:,:,3);
images(:,:,1) =0;
images(:,:,3) = 0;
image(images);
mask= g_channel > 100, b_channel > 800, r_channel < 800, b_channel < 0, r_channel < 0;
numBlackPixels = sum(~mask(:))
gr_ratio = double(g_channel)./double(r_channel);
gb_ratio = double(g_channel)./double(b_channel);
rb_ratio = double(r_channel)./double(b_channel);
% gr_ratio(isnan(g_ratio))=0;
% grayImage = rgb2gray(image);
% binaryImage = grayImage > 20;
% binaryImage = bwareaopen(binaryImage, 50);
% binaryImage = imfill(binaryImage, 'holes');
% grayImage(~binaryImage) = 0;
falseMatrix= zeros(7,7);
targetMatrix= ones(7,7);
checkMatrix= ones(7,7);
fprintf('mask has %d black pixels.\n', numBlackPixels);
if targetMatrix == checkMatrix
% cam = camStop;
return
end
  2 Kommentare
Jan
Jan am 9 Jun. 2021
It is not getting clear to me, what you are asking for.
What is the purpose of this line:
mask= g_channel > 100, b_channel > 800, r_channel < 800, b_channel < 0, r_channel < 0;
Only the first comparison matters, the rest is ignored.
Sulaymon Eshkabilov
Sulaymon Eshkabilov am 9 Jun. 2021
Note that "yellow" color pixel is the composition of three layers, viz. Red, Green, Blue. From these three layers in combination, you'd need to create a mask that gives a "Yellow" pixel.

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Antworten (1)

Image Analyst
Image Analyst am 10 Jun. 2021
Use the ColorThresholder app on the Apps tab of the tool ribbon to create a mask. Then export the function and call it whenever you need to find the yellow mask.
  2 Kommentare
Iszuzuldin amirull bin mohd janudin
One more questions, how to get pixels of each mango?
Image Analyst
Image Analyst am 11 Jun. 2021
Bearbeitet: Image Analyst am 11 Jun. 2021
Exactly what does "get" mean to you. Please be very specific, like locations, colors, both, whatever. Basically use find() and imsplit().
[r,g,b] = imsplit(rgbImage);
[rows, columns] = find(mask); % the BW from the Color Threshold app.
redPixels = r(mask);
greenPixels = g(mask);
bluePixels = b(mask);

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