Image Processing with imageJ

Image Processing with imageJ

By: Javier Pascau (author), Jose Maria Mateos (author)Paperback

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

Jose Maria Mateos Perez is a Spanish researcher and Ph.D. student in the Medical Imaging Laboratory of the Hospital General Universitario Gregorio Maranon (, in Madrid, where his main research lines deal with automatic segmentation and kinetic analysis modeling of dynamic nuclear imaging sequences. He is 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. Javier Pascau received his Ph.D. from the Polytechnic University in Madrid in 2006, and is currently a visiting professor at Carlos III University in Madrid. He is 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 and Hospital General Universitario Gregorio Maranon in Madrid ( His research and teaching covers areas like 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, and in the last years he has led several projects on intraoperative radiation therapy and image guided surgery. He is the author of more than 30 papers published in peer-reviewed journals over the last 13 years.

Product Details

  • publication date: 30/09/2013
  • ISBN13: 9781783283958
  • Format: Paperback
  • Number Of Pages: 140
  • ID: 9781783283958
  • weight: 254
  • ISBN10: 1783283955

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