%% % replace `PATH_TO_IMAGE` with actual image file path % impath = 'PATH_TO_IMAGE'; %% % read image % img = imread(impath); 

 %% % write image % imwrite(img,'new_image_filename.jpg'); 

 %% % show image % imshow(img); %% % display multiple image in same window % subplot(1,2,1),imshow(img1); title('First Image'); subplot(1,2,2),imshow(img2); title('Second Image'); %% % using figure % figure; imshow(img); 

 %% % get the dimensions of image % if img is colour image then dimension is vector with 3 elements % if img is grayscale image then dimension is vector wit 2 dimensions % dimensions = size(img); % number of rows nr = dimensions(1); % number of columns nc = dimensions(2); 

 %% % Convert RGB image to colormap to gray scale image % imgray = rgb2gray(imrgb); %% % Convert grayscale or binary image to indexed image % imind = gray2ind(imgray); %% % Convert matrix to grayscale image % imgray = mat2gray(A); % where A is a 2D matrix %% % Split multichannel image into its individual channels % eg. if you read an rgb image it has 3 color channel Red, Green & Blue % if one need to fetch individual channel from that you can use the following funtion % [ r, g, b ] = imsplit(imrgb); % r contains red channel of image; g contains green channnel of image; b contains blue channel of image;  

 %% % histogram plot of the gray scale image file % imhist(imgray); %% % bar chart % X = [100,200,300,400,500,600,700] Y = [3,6,9,12,15,18,21] % plot X vs Y plot bar(X,Y); % plot X bar(X) %% % line plot % X = linspace(-2*pi,2*pi,100); Y = sin(X); plot(X,Y); % plots X vs sin(X) plot subplot(1,3,3),plot(X,Y1,X,Y2); % plots X vs sin(X) AND X vs cos(X) plot %% % Customize your plot % % give title of the plot bar(X,Y); title('My Data Plot'); % change the color of the plots % ------------------------------------------------------------------ % | Short Name | Color Name | RGB Triplet | Hexadecimal Color Code | % ------------------------------------------------------------------ % | 'r' | 'red' | [1 0 0] | '#FF0000' | % | 'g' | 'green' | [0 1 0] | '#00FF00' | % | 'b' | 'blue' | [0 0 1] | '#0000FF' | % | 'c' | 'cyan' | [0 1 1] | '#00FFFF' | % | 'm' | 'magenta' | [1 0 1] | '#FF00FF' | % | 'k' | 'black' | [1 1 0] | '#FFFF00' | % | 'w' | 'white' | [0 0 0] | '#000000' | % | 'y' | 'yellow' | [1 1 1] | '#FFFFFF' | % ------------------------------------------------------------------ bar(X,'r'); % this plots red coloured bar graph % plot X vs sin(X) AND X vs cos(X) plots X = linspace(-2*pi,2*pi,100); Y1 = sin(X); Y2 = cos(X); plot(X,Y1,X,Y2); % give label to the plot xlabel('-2\pi < X < 2\pi'); ylabel('Sine and Cosine Values'); % add legend to the plot legend({'y = sin(x)','y = cos(x)'},'Location','northeast'); % change line style of the line graph % ------------------------------------------- % | Value | Description | % ------------------------------------------- % | '--' | Dashed line | % | '-' | Solid line (default) | % | ':' | Dotted line | % | '-.' | Dash-dot line | % ------------------------------------------- plot(X,Y1,'--'); % change line style to dashed line % change line markers of the line graph % ------------------------------------------- % | Value | Description | % ------------------------------------------- % | 'o' | Circle | % | '+' | Plus sign | % | 'x' | Cross | % | '*' | Asterisk | % | '.' | Dot | % | 's' | Square | % | 'd' | Diamond | % | 'p' | Pentagram (Five pointed star) | % | 'h' | Hexagram (Six pointed star) | % | '>' | Right pointing triangle | % | '<' | Left pointing triangle | % | '^' | Upward pointing triangle | % | 'v' | Downward pointing triangle | % ------------------------------------------- plot(X,Y1,'o'); % this shows the line in the form of sequence of small circles % combine multiple properties in one % shows dashed line with circle in red for sine plot and dashed line with cross in blue for cosine plot plot(X,Y1,'--or',X,Y2,'--xb'); 

 function [return_values1,...,return_valuesN] = function_name(parameter1,...,parameterN) %% % Body Here %% end 

 % for loop from 1 - n for i = 1:n %% % Body Here %% endfor 

 while condition %% % Body Here %% endwhile 

 if condition %% % Body Here %% endif 

 %% % Addition % a = 3 + 5; %% % Subtraction % a = 3 - 5; %% % Multiplication % a = 3 * 5; %% % Division % a = 3 / 5; %% % Power % a = 3 ^ 5; % OR a = power(3,5); %% % Logarithm % % Natural Log a = log(3); % Common Log a = log10(3); %% % Square Root % a = sqrt(9); 

 %% % Logical - OR % a = bitor(3,5); %% % Logical - AND % a = bitand(3,5); %% % Logical - NOT % a = bitnot(3,5); %% % Logical - XOR % a = bitxor(3,5); 

 %% % Declare Column Vector % mat = [1; 2; 3]; %% % Declare Row Vector % mat = [1 2 3]; % OR mat = [1, 2, 3]; %% % Declare Matrix of m x n dimension % % 1 2 3 % 4 5 6 % 7 8 9 % mat = [1 2 3; 4 5 6; 7 8 9]; % OR mat = [1, 2, 3; 4, 5, 6; 7, 8, 9]; %% % Fetch Elements From Matrix % % Fetch single element a = mat(1,1); % OR a = mat(1); % numerical indexing starting from 1 in column major order % Fetch whole column a = mat(:,1); % Fetch whole row a = mat(1,:); % Fetch perticular part from matrix a = mat(1:2,2:3); %% % Find Dimension of Matrix % dimension = size(mat); %% % Declare Matrix with 1 %  % 1 0 0 % 0 1 0 % 0 0 1 % i_mat = eye(3); % OR i_mat = eye(3,3); %% % Declare Matrix with 1 %  % 1 1 1 % 1 1 1 % 1 1 1 % i_mat = ones(3); % OR i_mat = ones(3,3); %% % Declare Matrix with 0 %  % 0 0 0 % 0 0 0 % 0 0 0 % z_mat = zeros(3); % OR z_mat = zeros(3,3); %% % Declare Magic Matrix % % 8 1 6  % 3 5 7 % 4 9 2 % magic_mat = magic(3); %% % Addition Operation on Matrix % % Add scalar value to an matrix new_mat = mat + 2; % new_mat & mat are two matrix of m x n size % Add matrix A with matrix B new_mat = A + B; % new_mat, A & B are same dimension m x n matrix %% % Multiplication Operation on Matrix % % Multiply scalar value with matrix new_mat = mat * 2; % Multiply matrix A with matrix B new_mat = A * B; % dimension of matrix A: m1 x n | dimension of matrix B: n x m2 | dimension of matrix new_mat: m1 x m2 % Multiply the corresponding elements of two matrices or vectors using the .* operator new_mat = A .* B; % dimension of matrix A: m1 x n | dimension of matrix B: n x m2 | dimension of matrix new_mat: m1 x m2 %% % Subtraction Operation on Matrix % % Subtract scalar value to an matrix new_mat = mat - 2; % new_mat & mat are two matrix of m x n size % Subtract matrix A with matrix B new_mat = A - B; % new_mat, A & B are same dimension m x n matrix %% % Minimum Value % % Minimum of row or column vector min_value = min(vector); % Minimun of m x n matrix min_value_vector = min(mat); % using min() on any matrix return vector containing minimum of each column min_value = min(min_value_vector); %% % Maximum Value % % Maximum of row or column vector max_value = max(vector); % Maximun of m x n matrix max_value_vector = max(mat); % using max() on any matrix return vector containing maximum of each column max_value = max(max_value_vector); %% % Median Value % % Median of row or column vector median_value = median(vector); % Median of m x n matrix median_value_vector = median(mat); % using median() on any matrix return vector containing median of each column median_value = median(median_value_vector);