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

Enlarging and shrinking a region of interest


A very common technique for refining a region of interest derived using thresholding is either enlarging or shrinking it to fit our target size. This can be accomplished by the morphological operations called dilation and erosion, respectively. These operations can be implemented in MATLAB using their respective functions, intuitively named imdilate and imerode.

Explaining and analyzing the mathematical properties of dilation and erosion lie beyond the scope of this book. We will instead explain their significance using practical examples that demonstrate their importance for image processing. The basic idea that you have to understand before we start, is that the two operations can be used for enlarging or shrinking an ROI (denoted by the instances of 1 in the image) using a structuring element. Structuring elements can be small binary images generated by the user either arbitrarily (placing the instances of 1 and 0 in a small image), or by using...