This assignment involves self-directed
study to learn the basics of Matlab for computer vision. There is nothing
to hand in and no marks will be given. You should aim to complete
this assignment by **Tuesday, January 23, 2007.**

matlab & % This starts the standard desktop version % The optional "&" spins matlab off as separate process matlab -nodesktop % Command line interface, useful for remote access % or running inside emacs quit % Quits command-line interfaceWarning: Expect Matlab to take some time to start as it's a large system. The Department of Computer Science provides concurrent, networked licences for Matlab and (separately) for the Image Processing Toolbox. It is possible, during periods of peak demand, that the maximum number of licensed seats is reached.

You can also read the same documentation from the Matlab documentation site but it is much better to read it when you can execute the examples interactively.

Other ways to get online help:

help function % Gives help on function doc function % Jumps to help documentation on function type function % Shows source code for function

% Entering matrices A = [ 1, 2, 3 ] % produces a row vector B = [ 1 2 3 ]' % commas are redundant, "'" - operator gives transpose 1:10 % a:b is a short form for [ a, a + 1, ..., b ] 1:0.2:3 % a:i:b specifies use of an increment i % Some special matrix building functions zeros(2, 3) % Matrix of zeros ones(4, 2) % Ones eye(5) % Identity matrix rand(10,2) % 10x2 matrix of random numbers in range [0,1] % Indexing matrix elements C = rand(6,8) % Create (a test) array of random numbers C(3, 2) % single elements are obtained in the obvious way C(:, 2) % colon gives an entire column... C(2, :) % ...or row C(:) % appends all columns into a single column vector (useful!) C(2:4, 5:7) % vectors can be used to index sub-matrices C(1:2:end, :) % select every second row ("end" is last element) % Matrix operations D = [1 2 3]; % Create a couple of test vectors E = [1 0 -1]; % NOTE: the semi-colon suppresess Matlab output D + E % Vector addition D + 100 % Scalars can be added to each element D * E' % Inner (i.e., dot) product D' * E % Outer product (is a matrix) D .* E % Use the "." to specify element-wise operations [1:10] .^ 2 % Square each number from 1 to 10 F = rand(5,3) % Create (another test) array of random numbers sum(F) % Sum columns of F sum(F(:)) % Sum all the elements in F help elfun % List of all elementary math functions % (trigonometric, exponential, complex, rounding and remainder) % Plotting and Printing X = 1:10; % Create values for X (i.e., horizontal) axis Y = X .^ 2; % Create values for Y (i.e., vertical) axis plot(X, Y); % "plot" can plot 2D data in many convenient ways figure; % Start a new figure window (otherwise previous figure is replaced) plot(X, Y, 'r+'); % Uses red "+"s as markers figure; % Start a new figure window (otherwise previous figure is replaced) X = [-6:0.1:6]'; % Create new values for X (note transpose operator) Y = [sin(X), 2 * cos(X), 3 * abs(cos(X))]; plot(Y); % Create and plot 3 functions at once doc plot % Look here for details % Writing your own functions % Using your favorite text editor, place the following 2 lines into a file % called test.m in current directory: function r = test(m) r = [m m]; % Append two copies of the matrix m % Now you can call the function from Matlab. (Matlab can use any *.m file in % the current directory or other directories you place in its path) test([1 2; 3 4])

diary file.txt % Save (i.e., append) command interaction to file.txt diary off % Stop saving

The “imread” function reads an image from a file. The file location is specified relative to current directory or by giving its full path. Matlab can read most common image file formats, such as tif, jpg, and ppm. The imread function returns the image in an 8-bit format. Most other Matlab commands require floats, so the first step is usually to convert to double.

im = imread('cameraman.tif'); % This image is already available in Matlab % NOTE: the semi-colon suppresess Matlab output % (helpful since "im" here is 256x256) im2 = im2double(im); % Convert to double for processing %im2 = rgb2gray(im2); % [Optional for color image] convert to grayscale imshow(im2); % Display the image im3 = im2 + 0.2; % Make image brighter imshow(im3); imwrite(im3, 'bright.jpg'); % Writes to file (file extension defines output format) box = ones(5,5); % Create simple 5x5 box filter box = box / sum(box(:)); % Normalize filter elements to sum to 1 im4 = conv2(im2, box, 'same'); % Convolve with image and keep size 'same' imshow(im4); % View blurred image

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