AnsiLove is an ANSI and ASCII art to PNG converter, allowing to convert ANSI and artscene-related file formats into PNG images, supporting ANSI (.ANS), PCBoard (.PCB), Binary (.BIN), Artworx (.ADF), iCE Draw (.IDF), Tundra (.TND) and XBin (.XB) formats.

The CImg Library is a small C++ toolkit for image processing. It is made of a single header file CImg.h that can be compiled using a minimal set of standard C++ and system libraries. It includes a plugin mechanism to extend its functionality with external tools and libraries.

Scan Tailor is an interactive post-processing tool for scanned pages. It performs operations such as page splitting, deskewing, adding/removing borders, and others. You give it raw scans, and you get pages ready to be printed or assembled into a PDF or DJVU file. Scanning, optical character recognition, and assembling multi-page documents are out of scope of this project.

Scan Tailer Advanced is a fork of Scan Tailer that merges Scan Tailor Featured and Scan Tailor Enhanced versions as well as including many more bug fixes.

libansilove is a library for converting artscene file types to PNG images, including ANSI (.ANS) and many others. The library primarily serves to support the ansilove tool.

Python library for object detection, semantic and instance segmentation.

VXL (the Vision-something-Libraries) is a collection of C++ libraries designed for computer vision research and implementation.

This package provide a graphical user interface (GUI) for the VIPS image processing library. It's a little like a spreadsheet: you create a set of formula connecting your objects together, and on a change nip2 recalculates.

Elastix is a toolbox for rigid and nonrigid registration of images. The software consists of a collection of algorithms that are commonly used to perform (medical) image registration: the task of finding a spatial transformation, mapping one image (the fixed image) to another (the moving image), by optimizing relevant image similarity metrics.

ParaView is a VTK-based, parallel data analyzer and visualizer which allows exploring data interactively in 3D or programmatically.

The Visualization Toolkit (VTK) is a C++ library for 3D computer graphics, image processing and visualization. It supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk.

VIPS is a demand-driven, horizontally threaded image processing library. It's particularly good at processing large images, working with colour, scientific analysis, and general research & development.

Compared to most image processing libraries VIPS needs little RAM and runs quickly, especially on machines with more than one CPU core. This is primarily due to its architecture which automatically parallelises the image workflows.

The Visualization Toolkit (VTK) is a C++ library for 3D computer graphics, image processing and visualization. It supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk.

The Visualization Toolkit (VTK) is a C++ library for 3D computer graphics, image processing and visualization. It supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk.

Image and video labeling tool supporting different shapes like polygons, rectangles, circles, lines, points and VOC/COCO export.

The Insight Toolkit (ITK) is a toolkit for N-dimensional scientific image processing, segmentation, and registration. 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 or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

ITK-SNAP is a tool for segmenting anatomical structures in medical images. It provides an automatic active contour segmentation pipeline, along with supporting a manual segmentation toolbox. ITK-SNAP has a full-featured UI aimed at clinical researchers.

The Visualization Toolkit (VTK) is a C++ library for 3D computer graphics, image processing and visualization. It supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk.

The Berkeley Advanced Reconstruction Toolbox (BART) is an image-reconstruction framework for Computational Magnetic Resonance Imaging. The tools in this software implement various reconstruction algorithms for Magnetic Resonance Imaging.

This package implements a multi-dimensional spatial image data structure for scientific Python.

To facilitate:

• Multi-scale processing and analysis

• Registration

• Resampling

• Subregion parallel processing

• Coupling with meshes, point sets, and annotations

with scientific images, which are typically multi-dimensional with anisotropic sampling, this package provides a spatial-image data structure. In addition to an N-dimensional array of pixel values, spatial metadata defines the location of the pixel sampling grid in space time. It also labels the array dimensions. This metadata is easily utilized and carried through image processing pipelines.

DCMTK is a collection of libraries and applications implementing large parts the DICOM standard. It includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over a network connection, as well as demonstrative image storage and worklist servers.

OpenCV is a library aimed at real-time computer vision, including several hundred computer vision algorithms. It can be used to do things like:

• image and video input and output

• image and video processing

• displaying

• feature recognition

• segmentation

• facial recognition

• stereo vision

• structure from motion

• augmented reality

• machine learning

This package includes the Python bindings for OpenCV, which are also known as the OpenCV-Python library.

Scientific video can be packaged in various ways: familiar video formats like .AVI and .MOV, folders full of numbered images, or "stacks" of TIFF images. Each of these requires a separate Python module. And, once loaded, they have different methods for accessing individual images, looping through the images in bulk, accessing a specific range, or dealing with multidimensional files. PIMS can do all of these using a consistent interface, handling the differences between different inputs invisibly.

Metapixel is a program for generating photomosaics. It can generate classical photomosaics, in which the source image is viewed as a matrix of equally sized rectangles for each of which a matching image is substituted, as well as collage-style photomosaics, in which rectangular parts of the source image at arbitrary positions (i.e. not aligned to a matrix) are substituted by matching images.

SimpleITK is an image analysis toolkit built on top of ITK. It provides a simplified interface to most of the image filters and the input/output and registration frameworks in ITK. It is written in C++ and provides bindings for interpreted languages. This package includes the C++, Python and R interfaces.