how to save scatter plot of each row as image for image classification
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Hello Everyone, I hope you are doing well.
i have the following data of shape 100x1000.
each row has 1000 samples
i want save scatter plot of each row as image to train image classification network How can i do that?
6 Kommentare
KSSV
am 4 Mär. 2022
I think each row has same number....how it will be a scatter plot? How you want to use such images for classification? What exactly you ar targetting?
Med Future
am 4 Mär. 2022
Image Analyst
am 7 Mär. 2022
So your images are in the form of a row vector of 1000 pixels? How are you doing the classification? Are you using the Classification Learner app, or Deep Learning, or traditional methods?
Med Future
am 8 Mär. 2022
Image Analyst
am 9 Mär. 2022
OK, explain what I'm looking at here. How does this data relate to images? Why is the value the same for all columns and what does the value mean? What do the rows and columns represent? Is a column for each image, and the rows are the vector of values that you'd like to predict for each image? Probably not since all columns are the same so the predicted value would not change if you changed the image.
s = load('saveddata.mat')
data = s.fixedclass;
subplot(2, 1, 1);
imshow(data, []);
impixelinfo;
title('Data in Mat file')
subplot(2, 1, 2);
plot(data(:, 1), 'b.-', 'LineWidth', 2);
grid on;
title('First Column')
xlabel('Row');
ylabel('Value')

Med Future
am 9 Mär. 2022
Antworten (1)
KSSV
am 4 Mär. 2022
load('saveddata.mat') ;
for i = 1:100
plot(fixedclass(i,:),'.')
drawnow
filename = [num2str(fixedclass(i,1)),'.png'] ;
saveas(gcf,filename)
end
15 Kommentare
Med Future
am 4 Mär. 2022
yanqi liu
am 7 Mär. 2022
use
axis off
or
set(gca, 'XTickLabel', [], 'YTickLabel', [])
KSSV
am 7 Mär. 2022
You can also use:
I = uint8(zeros(1000)) ;
I(876,:) = 876 ;
imwrite(I,'876.png')
Med Future
am 8 Mär. 2022
KSSV
am 9 Mär. 2022
You can do that using the second answer which I have given.
Med Future
am 9 Mär. 2022
Med Future
am 9 Mär. 2022
Bearbeitet: Med Future
am 9 Mär. 2022
KSSV
am 9 Mär. 2022
load('saveddata.mat') ;
for i = 1:100
I = uint8(zeros(100,1000)) ;
I(i,:) = fixedclass(i,:) ;
filename = [num2str(fixedclass(i,1)),'.png'] ;
imwrite(I,filename)
end
Med Future
am 9 Mär. 2022
Med Future
am 9 Mär. 2022
KSSV
am 9 Mär. 2022
Will check and get back tomorrow.
Med Future
am 9 Mär. 2022
Med Future
am 10 Mär. 2022
KSSV
am 10 Mär. 2022
I am confused and not clear what problem you faced and what you are expecting.
Med Future
am 10 Mär. 2022
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