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How to store images in an array ?

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Jack Wolf
Jack Wolf on 25 Oct 2021
Answered: yanqi liu on 26 Oct 2021
I've already read similar topics here in the comunity, but it's not clear for me yet.
Image sizes are 480x720x3 uint8
I want to replicate the folowing code made in Python/OpenCV. For that I need to be able to store my images in an array. But no matter what I do, I dont seem to get it right.
def get_background(file_path):
cap = cv2.VideoCapture(file_path)
% we will randomly select 50 frames for the calculating the median
frame_indices = cap.get(cv2.CAP_PROP_FRAME_COUNT) * np.random.uniform(size=50)
% we will store the frames in array
frames = []
for idx in frame_indices:
% set the frame id to read that particular frame
cap.set(cv2.CAP_PROP_POS_FRAMES, idx)
ret, frame =
% calculate the median
median_frame = np.median(frames, axis=0).astype(np.uint8)
return median_frame
This code returns the background of a video, by selecting random 50 frames and calculating the median of those frames.
Is it possible to store images like this ?
randomframes = randi([1 numFrames],1,30); % Generate 30 random numbers from the total number of frames.
for n= 1:(30) % run through randomframes vector.
frames(n) = read(vid, randomframes(n)); % store the image from a random frame in "frames(1....n)"

Accepted Answer

yanqi liu
yanqi liu on 26 Oct 2021
sir,please check the follow code to get some information
clc; clear all; close all;
vid = VideoReader('xylophone.mp4');
% Generate 30 random numbers from the total number of frames
randomframes = randi([1 numFrames],1,30);
frames = [];
for n= 1:(30)
% run through randomframes vector.
% store the image from a random frame in "frames(1....n)"
frames(:,:,:,n) = mat2gray(read(vid, randomframes(n)));
figure; montage(frames, 'Size', [5 6], 'BackgroundColor', 'w', 'BorderSize', [3 3])
median_frame = median(frames,4);
figure; imshow(mat2gray(median_frame));

More Answers (1)

Image Analyst
Image Analyst on 25 Oct 2021
You can store the images in a 3-D array. Something like (untested):
redImages = zeros(rows, columns, 50, 'uint8');
greenImages = zeros(rows, columns, 50, 'uint8');
blueImages = zeros(rows, columns, 50, 'uint8');
for k = 1 : 50
rgbImage = getsnapshot(); % However you get it...
[thisR, thisG, thisB] = imsplit(rgbImage);
redImages(:, :, k) = thisR;
greenImages(:, :, k) = thisG;
blueImages(:, :, k) = thisB;
% Get medians for each z-column.
medRed = zeros(rows, columns, 'uint8');
medGreen = zeros(rows, columns, 'uint8');
medBlue = zeros(rows, columns, 'uint8');
for col = 1 : columns
for row = 1 : rows
medRed(row, col) = median(redImages(row, col, :));
medGreen(row, col) = median(greenImages(row, col, :));
medBlue(row, col) = median(blueImages(row, col, :));

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