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  2. Elastix (image registration) - Wikipedia

    en.wikipedia.org/wiki/Elastix_(image_registration)

    Elastix is an image registration toolbox built upon the Insight Segmentation and Registration Toolkit (ITK). [2] It is entirely open-source and provides a wide range of algorithms employed in image registration problems. Its components are designed to be modular to ease a fast and reliable creation of various registration pipelines tailored for ...

  3. 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 ...

  4. Point Cloud Library - Wikipedia

    en.wikipedia.org/wiki/Point_Cloud_Library

    Some of the models implemented in this library include plane models that are often used to detect interior surfaces such as walls and floors. Next models are the lines, 2D and 3D circles in a plane, sphere, cylinder, cone, a model for determining a line parallel with a given axis, a model for determining a plane perpendicular to a user ...

  5. 3D Slicer - Wikipedia

    en.wikipedia.org/wiki/3D_Slicer

    3D Slicer is a free open source software (BSD-style license) that is a flexible, modular platform for image analysis and visualization. 3D Slicer is extended to enable development of both interactive and batch processing tools for a variety of applications.

  6. GrabCut - Wikipedia

    en.wikipedia.org/wiki/Grabcut

    GrabCut is an image segmentation method based on graph cuts.. Starting with a user-specified bounding box around the object to be segmented, the algorithm estimates the color distribution of the target object and that of the background using a Gaussian mixture model.

  7. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    Segmentation of a 512 × 512 image takes less than a second on a modern (2015) GPU using the U-Net architecture. [1] [3] [4] [5] The U-Net architecture has also been employed in diffusion models for iterative image denoising. [6] This technology underlies many modern image generation models, such as DALL-E, Midjourney, and Stable Diffusion.

  8. Fiji (software) - Wikipedia

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

    Fiji is most popular in the life sciences community, where the 3D Viewer [12] helps visualizing data obtained through light microscopy, and for which Fiji provides registration, [13] segmentation, and other advanced image processing algorithms.

  9. Virtual Cell - Wikipedia

    en.wikipedia.org/wiki/Virtual_Cell

    Utilities for 3D segmentation of image data into regions such as nucleus, mitochondria, cytosol and extracellular are provided. Simulations can be based on either integration of differential equations without use of random numbers ( deterministic simulations ) or be based on random events ( stochastic simulations ).