Salt and pepper code in matlab
Afficher commentaires plus anciens

I want to convert from this opencv code to matlab code.
My tried code:
% I generated random salt & pepper noise
dim = size(I);
[m, n] = size(I);
saltpepper_noise=zeros((m, n));
saltpepper_noise=rand(m,n); #creates a uniform random variable from 0 to 1
for i in range(0,m):
for j in range(0,n):
if saltpepper_noise[i,j]<=0.5:
saltpepper_noise[i,j]=0
else:
saltpepper_noise[i,j]=255
1 commentaire
Nathan Blanc
le 10 Nov 2020
Not sure I understand your code fully, is I defined before the code begins?
in any case, a few corrections
- the asignment [m,n]=x is impossible in matlab, you can should define them seperatly:
m=size(I)(1)
n=size(I)(2)
- no need to define saltpepper_noise twice, you can just use the second line
- in a for loop, you use the syntax for i=1:m
in general, i suggest you use matlab's online documentation, it's very helpful and full of examples
Réponses (2)
Image Analyst
le 10 Nov 2020
Modifié(e) : Image Analyst
le 10 Nov 2020
If you want to use conditionals and be as close as possible to that code (instead of using the built-in imnoise function), then you can do this:
% Get grayscale image
saltpepper_img = imread('cameraman.tif');
[img.rows, img.cols] = size(saltpepper_img);
% Create noise image.
saltpepper_noise = randi(255, img.rows, img.cols, 'uint8');
subplot(2, 2, 1);
imshow(saltpepper_noise);
title('Original Noise', 'FontSize', 15);
black = saltpepper_noise < 10;
subplot(2, 2, 2);
imshow(black);
title('Black Locations', 'FontSize', 15);
white = saltpepper_noise > 245;
subplot(2, 2, 3);
imshow(white);
title('White Locations', 'FontSize', 15);
% Assign black and white to gray scale image.
saltpepper_img(black) = 0;
saltpepper_img(white) = 255;
subplot(2, 2, 4);
imshow(saltpepper_img);
title('Grayscale image with noise', 'FontSize', 15);

Also see attached demos.
2 commentaires
Rooter Boy
le 10 Nov 2020
Image Analyst
le 10 Nov 2020
In this forum, you can thank people by clicking the Vote icon or "Accepting the answer" to give them reputation points. Thanks in advance.
Image Analyst
le 10 Nov 2020
0 votes
There is a salt and pepper option for imnoise(). Just use that.
1 commentaire
Rooter Boy
le 10 Nov 2020
Catégories
En savoir plus sur Image Category Classification dans Centre d'aide et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!