Book Image

Image Processing with ImageJ - Second Edition

Book Image

Image Processing with ImageJ - Second Edition

Overview of this book

Advances in image processing have been vital for the scientific and technological communities, making it possible to analyze images in greater detail than ever before. But as images become larger and more complex, advanced processing techniques are required. ImageJ is built for the modern challenges of image processing – it’s one of the key tools in its development, letting you automate basic tasks so you can focus on sophisticated, in depth analysis. This book demonstrates how to put ImageJ into practice. It outlines its key features and demonstrates how to create your own image processing applications using macros and ImageJ plugins. Once you’ve got to grips with the basics of ImageJ, you’ll then discover how to build a number of different image processing solutions. From simple tasks to advanced and automated image processing, you’ll gain confidence with this innovative and powerful tool – however and whatever you are using it for.
Table of Contents (17 chapters)
Image Processing with ImageJ Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
2
Basic Image Processing with ImageJ
Index

Basic measurements


We will now look at a few techniques that can be used to measure specific parameters from data. For these measurements, we will use the ROI Manager and several different types of region to select and measure intensities, speed, and other interesting things. Besides measurements, regions can also be used for other purposes relevant to processing and image handling. One useful application of selections is that they can be used to limit certain processing steps to the selected area while leaving the unselected pixels unaffected. A few examples of these applications will be demonstrated as well.

Area selections and measurements

We will start with some basic measurements using area selections. We will use these to measure some basic parameters such as area, perimeter (or circumference), and many more. We will start with the most basic area selection: the rectangle.

Rectangular selections are very useful for cropping image areas. By reducing the size of an image, you reduce the...