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

Basic color image manipulations


Let's start with the very basics. Importing a color image and accessing its pixels is pretty much the same process as in the case of grayscale images. We can see it using the color version of the image used in Chapter 1, Basic Image Manipulations. To open both the color version and the grayscale version, we will use imread twice:

>> img_gray = imread('my_image.bmp');
>> img_color = imread('my_image_color.bmp');

Examining the workspace will reveal the aforementioned difference between grayscale and color images, which is the dimensionality. As we can see in the following screenshot, the grayscale version is 485-by-686 and the color version is 485-by-686-by-3.

To display both the grayscale and color images, as well as the three color channels of the latter separately on the same figure, we will type in:

>> subplot(2,3,1),imshow(img_gray);title('Grayscale image')
>> subplot(2,3,2),imshow(img_color);title('Color image')
>> subplot(2,3...