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

Plugin background and goal


In this section, I will briefly describe an image-processing problem that we will try to solve using a plugin. The problem is a general one that is encountered in many experiments involving living cells or organisms: they move and change shape. When we want to quantify certain aspects of the cells that we have imaged, we need to perform three basic steps:

  1. Detect the object of interest.

  2. Measure our object in the current frame.

  3. Detect each object in our time series independently.

These steps are encountered in many different problems involving time series. For each of the three steps, we need to create a solution that solves the problem or quantifies the object in a meaningful manner. For detection, we can think of many methods that may be suitable to detect the object. When we think back to the topics discussed in Chapter 4, Image Segmentation and Feature Extraction with ImageJ we may think of a threshold-based technique to segment the image, and use a particle analyzer...