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Image Processing with ImageJ

More Information
  • Install and configure ImageJ and its plugins
  • Open different image formats
  • Move around the image, zoom in and out, and obtain pixel values
  • Master the different selection tools
  • Plot the image profile and understand the histograms
  • Handle 3D and 4D images
  • Use the macro recording system
  • Create your own macros beyond the recorder
  • Build your own plugins using the ImageJ editor
  • Integrate ImageJ with the Eclipse IDE to improve the plugin development process

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.

  • Learn how to process digital images using ImageJ and deal with a variety of formats and dimensions, including 4D images
  • Understand what histograms, region of interest, or filtering means and how to analyze images easily with these tools
  • Packed with practical examples and real images, with step-by-step instructions and sample code
Page Count 140
Course Length 4 hours 12 minutes
Date Of Publication 22 Sep 2013


Javier Pascau

Javier Pascau received his PhD from Polytechnic University in Madrid in 2006 and is currently a visiting professor at Carlos III University, Madrid. He has been a part of Biomedical Imaging and Instrumentation Group, a research laboratory with a multidisciplinary team of engineers, physicists, biologists, and physicians located both in the university as well as Hospital General Universitario Gregorio Marañón (biig.uc3m.es). Javier's research and teaching cover areas such as medical image processing, analysis, quantification, and multimodal registration, both in preclinical and clinical environments. He has been involved in the development of small animal PET and CT devices. In the last few years, Javier has led several projects on intraoperative radiation therapy and image-guided surgery. He has authored more than 40 papers published in peer-reviewed journals over the last 15 years.

José María Mateos Pérez

José María Mateos Pérez is a Spanish postdoctoral fellow at the Montreal Neurological Institute (http://www.mcgill.ca/neuro/), where his main research lines deal with neurodevelopment and machine learning applied to clinical prediction. He has also been an experienced ImageJ user and has developed several macros and plugins. One of them, jClustering, has been published in PLOS ONE, a peer-reviewed journal. When he has enough time to procrastinate, he also likes to develop data analysis tools in Python and R.