Salt and pepper code in matlab

37 visualizzazioni (ultimi 30 giorni)
Rooter Boy
Rooter Boy il 10 Nov 2020
Commentato: Image Analyst il 10 Nov 2020
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 Commento
Nathan Bblanc
Nathan Bblanc il 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

Accedi per commentare.

Risposte (2)

Image Analyst
Image Analyst il 10 Nov 2020
Modificato: Image Analyst il 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 Commenti
Rooter Boy
Rooter Boy il 10 Nov 2020
Sir, thank you very much.
Image Analyst
Image Analyst il 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.

Accedi per commentare.


Image Analyst
Image Analyst il 10 Nov 2020
There is a salt and pepper option for imnoise(). Just use that.
  1 Commento
Rooter Boy
Rooter Boy il 10 Nov 2020
I want to use with if conditionals.
Mat black = saltpepper_noise < 30;
Mat white = saltpepper_noise > 225;
Mat saltpepper_img = img.clone();
saltpepper_img.setTo(255,white);
saltpepper_img.setTo(0,black);
I don't know how to adapt this for my codes.

Accedi per commentare.

Categorie

Scopri di più su Image Processing Toolbox in Help Center e File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by