Book Image

Visual Media Processing Using MATLAB Beginner's Guide

By : George Siogkas
Book Image

Visual Media Processing Using MATLAB Beginner's Guide

By: George Siogkas

Overview of this book

Whether you want to enhance your holiday photographs or make a professional banner image for your website, you need a software tool that offers you quick and easy ways to accomplish it. All-in-one tools tend to be rare, and Matlab is one of the best available.This book is a practical guide full of step-by-step examples and exercises that will enable you to use Matlab as a powerful, complete, and versatile alternative to traditional image and video processing software.You will start off by learning the very basics of grayscale image manipulation in Matlab to master how to analyze 3-dimensional images and videos using the same tool. The methods you learn here are explained and expanded upon so that you gradually reach a more advanced level in Matlab image and video processing. You will be guided through the steps of opening, transforming, and saving images, later to be mixed with advanced masking techniques both in grayscale and in color. More advanced examples of artistic image processing are also provided, like creating panoramic photographs or HDR images. The second part of the book covers video processing techniques and guides you through the processes of creating time-lapse videos from still images, and acquiring, filtering, and saving videos in Matlab. You will learn how to use many useful functions and tools that transform Matlab from a scientific software to a powerful and complete solution for your everyday image and video processing needs.
Table of Contents (18 chapters)
Visual Media Processing Using MATLAB Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Time for action – whiten an area and blacken another


We will again work using my_image.bmp. Let's see if we can write a script that whitens a 30 x 40 rectangular area on the top-left corner of the image and blackens a 40 x 50 rectangular area at the bottom-right corner of the image. We can manage to do so, if we follow these steps:

  1. First, you should open Editor and select New Script. This can also be achieved by using the Ctrl + N shortcut keystroke.

  2. Now, write the first part of the code, which will open the image:

    img = imread('my_image.bmp');
  3. Then you should alter the values of the elements contained in the top-left rectangle to 255. Let's keep the original image so that we can compare it to the final result. This will be achieved using the following line of code:

    img_final = img;
    img_final(1:30,1:40) = 255;
  4. Now, you should assign black values (equal to 0) to the elements contained in the bottom-right rectangle. In order to define the indices of the pixels you want to alter, you must use the...