README 1.8 KB

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  1. Fiji: Fiji is just ImageJ
  2. Fiji is an image processing package, a "batteries-included"
  3. distribution of ImageJ, bundling a lot of plugins which facilitate
  4. scientific image analysis.
  5. ImageJ is a Java image processing program inspired by NIH Image for
  6. the Macintosh. It can display, edit, analyze, process, save and print
  7. 8-bit, 16-bit and 32-bit images. It can read many image formats
  8. including TIFF, GIF, JPEG, BMP, DICOM, FITS and "raw". It supports
  9. "stacks", a series of images that share a single window. It is multi-
  10. threaded, so time-consuming operations such as image file reading can
  11. be performed in parallel with other operations.
  12. ImageJ can calculate area and pixel value statistics of user-defined
  13. selections. It can measure distances and angles. It can create density
  14. histograms and line profile plots. It supports standard image
  15. processing functions such as contrast manipulation, sharpening,
  16. smoothing, edge detection and median filtering.
  17. ImageJ does geometric transformations such as scaling, rotation and
  18. flips. Image can be zoomed up to 32:1 and down to 1:32. All analysis
  19. and processing functions are available at any magnification factor.
  20. The program supports any number of windows (images) simultaneously,
  21. limited only by available memory.
  22. Spatial calibration is available to provide real world dimensional
  23. measurements in units such as millimeters. Density or gray scale
  24. calibration is also available.
  25. Fiji is Just ImageJ, with extras. It is a distribution of ImageJ with
  26. many plugins useful for scientific image analysis in fields such as
  27. life sciences. It is actively maintained, with updates released often.
  28. NOTE: This comes with its own Java environment.
  29. Citing
  30. Schindelin, J.; Arganda-Carreras, I. & Frise, E. et al. (2012)
  31. "Fiji: an open-source platform for biological-image analysis"
  32. Nature methods 9(7): 676-682, PMID 22743772, doi:10.1038/nmeth.2019