Learn MATLAB – Part 1

Introduction, Variables, Functions, and Image Processing Basics

1. What is MATLAB?

MATLAB is a high-level programming language and environment used for numerical computation, data analysis, visualization, and algorithm development. It is widely used in engineering, physics, and computer science.

💡 MATLAB is particularly strong for **matrix operations**, **data visualization**, and **image processing**.

2. Variables and Basic Operations

Create variables easily; MATLAB automatically handles types.

x = 10;
y = 5;

z = x + y;
disp(z)   % displays 15

A = [1 2 3; 4 5 6]; % a 2x3 matrix
B = A * 2;           % multiply each element by 2
disp(B)

3. Plotting Data

Visualize data quickly using built-in plotting functions.

x = 0:0.1:2*pi;
y = sin(x);

plot(x, y)
xlabel('x')
ylabel('sin(x)')
title('Simple Sine Wave')
grid on

✅ MATLAB makes plotting and analyzing data intuitive.

4. Image Processing Basics

MATLAB has powerful tools for reading, displaying, and manipulating images.

img = imread('peppers.png'); % read an image
imshow(img);                  % display image

grayImg = rgb2gray(img);      % convert to grayscale
imshow(grayImg)

bwImg = imbinarize(grayImg);   % convert to black & white
imshow(bwImg)

💡 Functions like imread, imshow, and rgb2gray are part of MATLAB's **Image Processing Toolbox**.

5. Creating Your Own Functions

Functions allow you to reuse code efficiently.

function y = squareNum(x)
    y = x^2;
end

result = squareNum(5);
disp(result)  % prints 25

✅ Save each function in a separate file with the same name as the function.

6. Using MATLAB Libraries / Toolboxes

MATLAB comes with many built-in libraries and toolboxes.

% Example: Using Image Processing Toolbox
img = imread('peppers.png');
edges = edge(rgb2gray(img), 'Canny');  % detect edges
imshow(edges)

💡 Toolboxes extend MATLAB with specialized functions for image processing, signal processing, machine learning, and more.

7. What to Learn Next

Image Processing

⬅ Back to Learning Home ➤ Image Processing