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  2. ImageJ - Wikipedia

    en.wikipedia.org/wiki/ImageJ

    [2] [3] Its first version, ImageJ 1.x, is developed in the public domain, while ImageJ2 and the related projects SciJava, ImgLib2, and SCIFIO are licensed with a permissive BSD-2 license. [4] ImageJ was designed with an open architecture that provides extensibility via Java plugins and recordable macros. [5]

  3. Fiji (software) - Wikipedia

    en.wikipedia.org/wiki/FIJI_(software)

    Fiji [4] [5] is an open source image processing package based on ImageJ2. Fiji's main purpose is to provide a distribution of ImageJ2 with many bundled plugins. Fiji features an integrated updating system and aims to provide users with a coherent menu structure, extensive documentation in the form of detailed algorithm descriptions and ...

  4. Comparison of raster graphics editors - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_raster...

    Image processing program developed at the National Institutes of Health. See ImageJ2 and FIJI for modified and extended versions. Wayne Rasband (NIH) 1997: 1.54k [15] 2024-09-16 Free Public domain: ImageMagick: Command line software suite for displaying, converting, and editing raster image files ImageMagick Studio LLC 1990: 7.1.1-43 [16] 2024 ...

  5. Kevin Eliceiri - Wikipedia

    en.wikipedia.org/wiki/Kevin_Eliceiri

    Download QR code; Print/export Download as PDF; Printable version; In other projects ... ImageJ2: ImageJ for the next generation of scientific image data. Rueden CT ...

  6. ClearVolume - Wikipedia

    en.wikipedia.org/wiki/ClearVolume

    ClearVolume [1] is an open source real-time live 3D visualization library designed for high-end volumetric light sheet microscopes.ClearVolume enables the live visualization of microscope data - allowing the biologists to immediately decide whether a sample is worth imaging.

  7. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999. [1] ...