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CellProfiler, a software package for high-throughput image analysis by interactive construction of workflow. The workflow could include ImageJ macro The workflow could include ImageJ macro CVIPtools A complete open-source GUI-based Computer Vision and Image Processing software, with C functions libraries COM based dll along with two utilities ...
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 ...
open source Yes Yes Yes In some distributions Yes manual MoM: Antenna modeling, especially in Amateur Radio. Widely used as the basis for many GUI-based programs on many platforms. Version 2 is open source, but Versions 3 and 4 are commercially licensed. Momentum: commercial Yes Yes Partial Yes Yes equidistant MoM
Desktop open source interactive software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea. Python [6] GPL [7] [8] VoTT (Visual Object Tagging Tool) Free and open source electron app for image annotation and labeling developed by Microsoft. TypeScript/Electron (Windows, Linux, macOS) MIT ...
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. [4]
Multiplatform open source application for the solution of physical problems based on the Hermes library: University of West Bohemia: 3.2: 2014-03-03: GNU GPL: Free: Linux, Windows: CalculiX: It is an Open Source FEA project. The solver uses a partially compatible ABAQUS file format. The pre/post-processor generates input data for many FEA and ...
Gwyddion is a multiplatform modular free software for visualization and analysis of data from scanning probe microscopy (SPM) techniques (like AFM, MFM, STM, SNOM/NSOM). [1] The project is led by its main developers David Nečas (Yeti) and Petr Klapetek who work together with several various developers across the world.
Version 3.0, supporting volumetric analysis of 3D image stacks and optional deep learning modules, was released in October 2017. [16] CellProfiler 4.0 was released in September 2020 and focused on speed, usability, and utility improvements with most notable example of migration to Python 3.