Book Image

Image Processing with ImageJ

Book Image

Image Processing with ImageJ

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

Selections and regions in ImageJ


We will first look at the tools that are available in ImageJ to select Regions Of Interest (ROIs). These tools can be useful if you wish to only process a small portion of your image. ROIs are a very important element in ImageJ, and there is also a specific manager to handle the ROIs: ROI Manager. It can be opened by going to Analyze | Tools | ROI Manager…, which will open the following window:

On the left-hand side, there is a list that will contain the ROIs, while on the right-hand side, there are several buttons that will perform certain actions on the ROIs. The checkboxes in the bottom-right corner allow the user to see all the regions at once (Show All), while the Labels checkbox displays the region label in the image.

There are different types of region that are supported by ImageJ. They can be divided into two major types: area selections and line selections. A third singular type is the Point ROI, which only has one member. When used for measurements...