Create mask over image
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I am trying to create mask over an image (input). I already used photoshop to create a mask (which is basiclly an image with same size as input image) t which I add to the original image. Then I use NMF to reconstruct the original image. but it doesnt seem to be working. Am I doing the masking correctly? Any other ideas?
Input=im2double(imread('dataset/3.jpg')); % RGB original image
mask = double( mat2gray( im2double(imread('dataset/mask1.png')) ) == 1 ); % loading a grayscale image icreated in photoshop
if size(mask,3)==1 && size(input,3)>1
mask = repmat(mask,[1,1,size(input,3)]);
end
CorruptedImage = mask.*Input
Q=mask(:,:,1);
Red=CorruptedImage(:,:,1);
Gre=CorruptedImage(:,:,2);
Blu=CorruptedImage(:,:,3);
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采纳的回答
Subhadeep Koley
2020-2-15
编辑:Subhadeep Koley
2020-2-15
You should not use the variable name input as it shadows a MATLAB built-in function. Use the example code below.
close all; clc;
img = im2double(imread('peppers.png'));
figure; imshow(img);
title('Original RGB image');
mask = im2double(imread('peppersMask.png')); % Download the mask attached below
figure; imshow(mask);
title('Mask');
if size(mask, 3) == 1 && size(img, 3) > 1
mask = repmat(mask, [1, 1, size(img, 3)]);
end
CorruptedImage = mask .* img;
Q = mask(:, :, 1);
Red = CorruptedImage(:, :, 1);
Gre = CorruptedImage(:, :, 2);
Blu = CorruptedImage(:, :, 3);
figure; imshow(CorruptedImage);
title('CorruptedImage');
figure; montage(CorruptedImage, 'Size', [1, 3]);
title('R, G, B component of the CorruptedImage');
3 个评论
Subhadeep Koley
2020-2-15
@ fadams18
1. You can not use the pepperMask image for your image. I created that mask only for giving an example. Also you said that " I already used photoshop to create a mask...". Therefore you can use the mask, which you have created.
2. Yes, it is working as of version R2019b.
3. Actually "==1" is not required. I have upated my answer.
更多回答(1 个)
Image Analyst
2020-2-15
To mask an image with a binary image, which will blacken the image outside where the mask is true:
% Method to multiplication channel by channel.
% Mask the image using bsxfun() function to multiply the mask by each color channel or slice individually.
maskedRgbImage = bsxfun(@times, rgbImage, cast(mask, 'like', rgbImage));
8 个评论
Image Analyst
2020-2-16
You said that the authors already had the mask and that they added it to the original image on the left. So why don't you just type up something in a word processor program then type alt-PrintScreen (in Windows) or use the snipping tool to capture a screenshot into a file?
Or Google "text image" and download one:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/271975/image.png)
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