How to get the hue/saturation of a colourful images?

I have a set of color images and I want to get the values of hue and saturation and brightness using matlab , But I want to get the values quickly for all the images because the number of images is too large.

thanks to all.

Answer 1

[KALYAN ACHARJYA]

rgb2hsv and get the data

[ahmad Al sarairah]

OK. How to get these values for a thousand images by loop ?

[KALYAN ACHARJYA]

Apply loop (see FAQ), call one by one images and save the data in cell array.

[ahmad Al sarairah]

how do i save data in cell array?

[KALYAN ACHARJYA]

for i=1:...
variable_name{i}=data_to_be_save
end 

See here

Answer 2

[Image Analyst]

See the FAQ: https://matlab.fandom.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

Then inside the loop over k, call rgb2hsv(). If you want the means, do

hsvImage = rgb2hsv(rgbImage);
hmean(k) = mean2(hsvImage(:, :, 1))
smean(k) = mean2(hsvImage(:, :, 2))
vmean(k) = mean2(hsvImage(:, :, 3))

[ahmad Al sarairah]

OK

I have one hundred images and need to save the values of hmean,smean,vmean to excelfile like this attached file

[Image Analyst]

OK, that code should do it. Just call xlswrite() or writetable() after the loop.

[ahmad Al sarairah]

what do you mean by mean2?

[Image Analyst]

mean2() is a function in the Image Processing Toolbox that takes the mean of a 2-D array. It's basically the same as mean(array(:)).

[Guillaume]

Or since R2018b, you can also use mean(array, 'all'). There's not much need for mean2 anymore. You could also calculte the mean of all 3 channels at once as a 1x3 vector with:

hsvmean = squeeze(mean(hsvImage, [1, 2]));  %requires R2018b or later