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 – using dilation and erosion to refine ROIs


Since photographs from holidays are a usual target for image enhancement applications, we'll use one of these for our example, showing three large rocks in the sea. The goal is to come up with a mask that includes just them. Let's start with our usual steps:

  1. As always, we'll need to load our image into MATLAB, only now we will also have to convert it to grayscale:

    >> img = imread('3Rocks.jpg');
    >> img = rgb2gray(img);
  2. Now that our image is loaded and transformed to grayscale, let's show it to get a better idea of our goal:

    >> imshow(img);
  3. Let's now have a go at thresholding the image. Let's set our threshold to 30, since the rocks are dark. This time, the threshold denotes the maximum value kept, meaning we will ask MATLAB to make a mask containing only the pixels with values below 30, that is, set the pixels of the image with values below 30 equal to 1 (white), and the rest to 0 (black):

    >> img_bin = img <...