Book Image

Image Processing with ImageJ

Book Image

Image Processing with ImageJ

Overview of this book

Digital image processing is an increasingly important field across a vast array of scientific disciplines. ImageJ's long history and ever-growing user base makes it a perfect candidate for solving daily tasks involving all kinds of image analysis processes. Image Processing with ImageJ is a practical book that will guide you from the most basic analysis techniques to the fine details of implementing new functionalities through the ImageJ plugin system, all of it through the use of examples and practical cases. ImageJ is an excellent public domain imaging analysis platform that can be very easily used for almost all your image processing needs. Image Processing with ImageJ will start by showing you how to open a number of different images, become familiar with the different options, and perform simple analysis operations using the provided image samples. You will also learn how to make modifications through ImageJ filters and how to make local measurements using the selections system. You will also find the instructions necessary to record all the steps you perform so they can be saved and re-run on the same image to ensure analysis reproducibility. Finally, you will get to know some different ImageJ plugins and will learn how to implement your own.
Table of Contents (13 chapters)
Image Processing with ImageJ
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

ImageJ plugins


As we saw in the previous chapter, a macro is a series of ImageJ core functions that are executed sequentially in order to automate the analysis processes. While one of the main strengths of the macro system is that new macros can be produced without the need of prior programming experience, they are constrained within the ImageJ native capabilities and can also be quite slow.

However, ImageJ was built with extensibility in mind. It allows external Java classes to use its internal methods through a very well-documented public Application Programming Interface (API) available at http://rsbweb.nih.gov/ij/developer/api/. An Image plugin can, for instance, implement the necessary functions for reading and/or writing a type of file format that is initially not supported by ImageJ. It can carry on more sophisticated analysis, acquire images from external hardware or, in general, compute any mathematical operation involving images that you can think about. If you can code it in Java...