Image Processing with ImageJ
By Javier Pascau, Jose Maria Mateos-Perez
Publisher: Packt Publishing
Final Release Date: September 2013
Pages: 140

In Detail

Digital image processing is an increasingly important field across a vast array of scientific disciplines. ImageJs 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.


The book will help readers discover the various facilities of ImageJ through a tutorial-based approach.

Who this book is for

This book is targeted at scientists, engineers, technicians, and managers, and anyone who wishes to master ImageJ for image viewing, processing, and analysis. If you are a developer, you will be able to code your own routines after you have finished reading this book. No prior knowledge of ImageJ is expected.

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Really useful and good book on ImageJ

By dksamuel

from Bangalore, Karnataka, India

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Comments about oreilly Image Processing with ImageJ:

The book Image Processing with ImageJ by José María Mateos Pérez and Javier Pascau. By Packt Publishing on Open Source really helps to discover the incredible possibilities of ImageJ, from basic image processing to macro and plugin development
The book is about 140 pages with 6 major chapters. As known ImageJ's development started as long ago as 1987, when it was not even named ImageJ and Java was yet to be born. That year, Wayne Rasband started coding a piece of software named "NIH Image" (after the National Institute of Health (USA), which funded his efforts) in order to provide a way to perform image analysis on the old Apple Macintosh II, which lacked an image analysis platform, and was starting to be the desktop system of choice for many scientists. He started distributing his software for free to anyone who requested it.
A brief description of ImageJ and its main purpose is given with an installation and upgrade guide, which will help to open and save images (from disk and from the ImageJ sample repository), Zoom on the image and obtain pixel values, use color, multichannel, and stack images, and to adjust image brightness, contrast, and image size, Histograms of images followed by thresholding is given.
As digital images are not only bidimensional (2D) or multichannel (2D with several channels). we may have several 2D images with spatial, temporal, or any kind of relationship between them. These kinds of images are managed by ImageJ as stacks and hyperstacks. Intensity thresholding by selecting different regions in your image (lines or whole areas), convolution edge detection in a grayscale image, Volume rendering, FFT, particle analysis, macros, GUI Plugins, Fiji, Plugins for developers Eclipse are all well covered.
The book is a very good introductory text, the code archive contains image files and is adequate for self-practice. It provides the foundation for more in depth analysis using ImageJ and I heartily endorse this book

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