This is the first part of a comprehensive 4-part tutorial series on using MATLAB for computer vision. Designed for absolute beginners, this tutorial will cover the fundamentals with practical examples.

Table of Contents

1. Introduction to MATLAB for Computer Vision
2. Basic Image Operations
3. Image Visualization Techniques
4. Color Space Conversions
5. Basic Image Processing
6. Conclusion & Next Steps

1. Introduction to MATLAB for Computer Vision

MATLAB is a powerful platform for computer vision and image processing. Let's start with the basics.

Setting Up

% Check if Computer Vision Toolbox is installed
if ~license('test', 'image_toolbox')
    error('Computer Vision Toolbox is not available');
end
% Clear workspace and close all figures
clear; close all; clc;

Loading an Image

% Load a sample image from MATLAB's built-in collection
I = imread('peppers.png');
% Display basic information about the image
whos I

Output:

  Name        Size                Bytes  Class    Attributes
  I         384x512x3            589824  uint8

2. Basic Image Operations

Accessing Pixel Values

% Get pixel value at row 100, column 200
pixel_value = I(100, 200, :);
disp('Pixel value at (100,200):');
disp(pixel_value);
% Get image dimensions
[rows, cols, channels] = size(I);
fprintf('\\\\nImage dimensions: %d rows x %d cols x %d channels\\\\n', rows, cols, channels);

Output: