He started distributing his software for free to anyone who requested it. 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. ImageJ's development started as long ago as 1987, when it was not even named ImageJ and Java was yet to be born. Readers who wish to read a more in-depth text about ImageJ's history should obtain the paper "NIH Image to ImageJ: 25 years of image analysis", published in Nature Methods, 2012, 9:7, pages 671-675. Finally, you will get to know some different ImageJ plugins and will learn how to implement your own. 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. You will also learn how to make modifications through ImageJ filters and how to make local measurements using the selections system. 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. 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 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’s long history and ever-growing user base makes it a perfect candidate for solving daily tasks involving all kinds of image analysis processes.
Digital image processing is an increasingly important field across a vast array of scientific disciplines.
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