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  2. IMOD (software) - Wikipedia

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

    Image Viewing and Movie Making: Viewing of large 3D images slice by slice within 3dmod interface. The ability to view 3D images and models at arbitrary orientations using 3dmod's slicer window. The ability to make high movies of 2D image slices and/or 3D mesh models. Image Processing: IMOD suite includes several automatic segmentation programs.

  3. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    U-Net was created by Olaf Ronneberger, Philipp Fischer, Thomas Brox in 2015 and reported in the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation". [1] It is an improvement and development of FCN: Evan Shelhamer, Jonathan Long, Trevor Darrell (2014). "Fully convolutional networks for semantic segmentation". [2]

  4. ilastik - Wikipedia

    en.wikipedia.org/wiki/Ilastik

    ilastik [1] is a user-friendly free open source software for image classification and segmentation. No previous experience in image processing is required to run the software. Since 2018 ilastik is further developed and maintained by Anna Kreshuk's group at European Molecular Biology Laboratory.

  5. Insight Segmentation and Registration Toolkit - Wikipedia

    en.wikipedia.org/wiki/Insight_Segmentation_and...

    ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning ...

  6. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to ...

  7. Foreground detection - Wikipedia

    en.wikipedia.org/wiki/Foreground_detection

    A motion detection algorithm begins with the segmentation part where foreground or moving objects are segmented from the background. The simplest way to implement this is to take an image as background and take the frames obtained at the time t, denoted by I(t) to compare with the background image denoted by B.

  8. Category:Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Category:Image_segmentation

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  9. Chain code - Wikipedia

    en.wikipedia.org/wiki/Chain_code

    A chain code is a lossless compression based image segmentation method for binary images based upon tracing image contours. The basic principle of chain coding, like other contour codings, is to separately encode each connected component , or "blob", in the image.