{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Lecture - Matlab tutorial

# Lecture - Matlab tutorial - L M M O M L L Bahadir K Gunturk...

This preview shows pages 1–5. Sign up to view the full content.

EE 4780 Matlab tutorial

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Bahadir K. Gunturk 2 MATLAB Review your matrix-vector knowledge Matlab help files are helpful to learn it Exercise: f = [1 2; 3 4] g = [1; 1] g = [1 1] g’ z = f * g’ n=0:10 plot(sin(n)); plot(n,sin(n)); title(‘Sinusoid’); xlabel(‘n’); ylabel(‘Sin(n)’); n=0:0.1:10 plot(n,sin(n)); grid; figure; subplot(2,1,1); plot(n,sin(n)); subplot(2,1,2); plot(n,cos(n));
Bahadir K. Gunturk 3 MATLAB Some more built-ins a = zeros(3,2) b = ones(2,4) c = rand(3,3) %Uniform distribution help rand help randn %Normal distribution d1 = inv(c) d2 = inv(rand(3,3)) d3 = d1+d2 d4 = d1-d2 d5 = d1*d2 d6 = d1.*d3 e = d6(:)

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Bahadir K. Gunturk 4 MATLAB Image processing in Matlab x=imread(‘cameraman.tif’); figure; imshow(x); [h,w]=size(x); y=x(0:h/2,0:w/2); imwrite(y,’man.tif’); % To look for a keyword lookfor resize 1 2 [0,0] [0,1] [0, 1] [1,0] [1,1] [1, 1] [ , ] [ 1,0] [ 1, 1] MxN x x x N x x x N x n n x M x M N - - = - - -
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: L M M O M L L Bahadir K. Gunturk 5 MATLAB M-file Save the following as myresize1.m function [y]=myresize1(x) % This function downsamples an image by two [h,w]=size(x); for i=1:h/2, for j=1:w/2, y(i,j) = x(2*i,2*j); end end Compare with myresize2.m function [y]=myresize2(x) % This function downsamples an image by two [h,w]=size(x); for i=0:h/2-1, for j=0:w/2-1, y(i+1,j+1) = x(2*i+1,2*j+1); end end Compare with myresize3.m function [y]=myresize3(x) % This function downsamples an image by two y = x(1:2:end,1:2:end); We can add inputs/outputs function [y,height,width]=myresize4(x,factor) % Inputs: % x is the input image % factor is the downsampling factor % Outputs: % y is the output image % height and width are the size of the output image y = x(1:factor:end,1:factor:end); [height,width] = size(y);...
View Full Document

{[ snackBarMessage ]}

### Page1 / 5

Lecture - Matlab tutorial - L M M O M L L Bahadir K Gunturk...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online