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Image Processing with ImageJ - Second Edition

You're reading from   Image Processing with ImageJ - Second Edition Extract and analyze data from complex images with ImageJ, the world's leading image processing tool

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785889837
Length 256 pages
Edition 1st Edition
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with ImageJ FREE CHAPTER 2. Basic Image Processing with ImageJ 3. Advanced Image Processing with ImageJ 4. Image Segmentation and Feature Extraction with ImageJ 5. Basic Measurements with ImageJ 6. Developing Macros in ImageJ 7. Explanation of ImageJ Constructs 8. Anatomy of ImageJ Plugins 9. Creating ImageJ Plugins for Analysis 10. Where to Go from Here? Index

Correcting images

In order to analyze images, we sometimes need to correct the problems that were present during acquisition. Problems such as noise, uneven illumination, and background fluorescence can cause many issues during image analysis. I will provide a little technical background on the sources of these problems and then follow this up with how they can be corrected in ImageJ.

Technical background

Of the many sources of noise that exist in imaging, a few can be corrected with correct acquisition settings. Others are inherent in the electronics and physical properties of the camera, and cannot be easily fixed. I will first deal with the source of noise that can be remedied with optimizing acquisition: Shot or Poisson noise. Next, we will look at Electronic or Dark noise.

Correcting Shot noise

Shot noise is caused by the physical properties of light; light can be seen as packages of light or photons. The number of photons that are collected by each photo-detector site on the camera determines...

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