Open Source Image Processing Software - Page 3

A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs.

This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please give it a star and consider sponsoring it. You can also follow me on Twitter and LinkedIn where I aim to post frequent updates on my new discoveries, and I have created a dedicated group on LinkedIn. I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo.

Vector Raster Geographic Information Synthesis. Incorporates Vector: Vector processing, Image processing, Digital Elevation Model DEM processing. These data can be combined to be viewed in 3D. Multitude of system organization aids.

Scan Tailor Experimental is an interactive post-processing tool for scanned pages. 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.

LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools

This software provides libraries and command line tools for the processing and analysis of gray scale medical images.

This open source, non-commercial project has been moved to github.

Fiji is an image processing package based on ImageJ.

The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image processing filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models.

Web Based application to manage library materials and material borrowers. Includes a web search engine to find and reserve items by borrower ID. Painless installation, very extensible and has an intuitive U.I. Runs on MySQL. A great tool for any libr

GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development.

The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program. More information is available at www.orfeo-toolbox.org It is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular. Targeted algorithms for high resolution optical images (SPOT, Quickbird, Worldview, Landsat, Ikonos), hyperspectral sensors (Hyperion) or SAR (TerraSarX, ERS, Palsar) are available. Orfeo ToolBox has three main access depending on the category of user: write processing chains in C++ using existing filters or creating new ones, use the OTB applications, which is a plugin-based framework allowing to extend high-level processing chains from various environment ( command-line, QT, QGis, Python....) or use Monteverdi, a software for everyday life image manipulation and analysis.

ImLab is a free open source graphical application for Scientific Image Processing that runs in Windows, Linux and many other UNIX systems. It supports multiple windows, data types including 32 bit integers, 32 bit real numbers and complex numbers.

Marvin is an image processing framework that provides features for image and video frame manipulation, multithreading image processing, image filtering and analysis, unit testing, performance analysis and addition of new features via plug-in.

The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.

Reconstruction and Visualization from a Single Projection (ReViSP) tool: a 3D volume rendering method we developed to reconstruct the 3D shape of multicellular spheroids, besides estimating the volume by counting the voxels (3D pixels) fully included in the 3D surface. ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements for running ReViSP from the source code: MATLAB 2020a and Image Processing Toolbox 11.1 or later versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. Computer Methods and Programs in Biomedicine, 118(2):95–106, 2015. (b) F. Piccinini, et al., Single-image based methods used for non-invasive volume estimation of cancer spheroids: a practical assessing approach based on entry-level equipment. Computer Methods and Programs in Biomedicine, 135:51-60, 2016.

Siril is an astronomical image processing software for Linux. Dev here is stopped: as of 2013/02, Siril development has moved and is regaining activity here https://free-astro.org/index.php?title=Siril

The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.

ForcePAD is an intuitive tool for visualising the behavior of structures subjected to loading and boundary conditions. The design of the user interface aims to be as intuitive as a standard image processing software.

ImageJ2x is medical image processing program inspired by NIH Image for the Macintosh. It can display, edit, analyze, process, save and print 8-bit, 16-bit and 32-bit images. There can be many image formats including TIFF, GIF, JPEG, BMP, DICOM, PNG, FITS and "raw" and ... Read and supports "stacks" (stack), a series of images that share a single window. The program supports simultaneous that number of windows (images), limited only by available memory. It is multithreaded, so that time-consuming operations such as reading lists in parallel with other operations are performed. It can calculate area and pixel value statistics of user-defined selection. It can measure distances and angles. It can record density histograms and line profiles. It supports standard image processing functions such as contrast manipulation, sharpening, smoothing, edge detection and filtering it through all kinds of geometric transformations such as Zoom in / out and rotation. Images can be enlarged up to 32

Image Tools is a screen capture, file sharing and image processing tool. It features multi-threaded batch image resizing, conversion, cropping, flipping/rotating, watermarks, decolorizing (grayscale, negative, sepia), and optimizing. The BMP, GIF, TIFF, JPEG, PNG, and EMF image types are supported. It is compatible with Linux MONO (only for GNOME and Xfce). Multicore processing is supported to increase performance. The quality for output when optimizing is variable. Color channels can be filtered. An internal benchmarking tool is available. Indexed pixel format images can be processed. You can process your images, publish pieces of your screens, files and send links to everyone you want to share it.

!!! You can use newer "Astronomy Linux 18.04" and newest "Astronomy Linux 19.04" !!! ================================================================ WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ********************** This is an open project "Astronomy Linux" for amateurs. Free Live DVD distributive designed for astronomy amateurs. This DVD contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. Login: astronom Password: 12341234 You can change the default password in menu: Applications -> System Tools -> System Setting -> User Accounts P.S. You can disable the error report in terminal: sudo sed -i "s/enabled=1/enabled=0/g" '/etc/default/apport' ************************* Do you need any help? **************

This is an encoder for JBIG2. JBIG2 encodes bi-level (1 bpp) images using a number of clever tricks to get better compression than G4. This encoder can: Generate JBIG2 files, or fragments for embedding in PDFs Generic region encoding Perform symbol extraction, classification and text region coding Perform refinement coding and, Compress multipage documents It uses the (Apache-ish licensed) Leptonica library: http://leptonica.com/

This is an open project "Astronomy Linux" for amateurs. Free Live DVD distributive designed for astronomy amateurs. This DVD contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ********************************************************************************** ************************* Do you need any help? ************************* 1. Forum https://groups.google.com/forum/#!forum/astronomy-linux 2. New open project “Astronomy Linux” https://www.cloudynights.com/topic/ 3. FB group https://www.facebook.com/astronomylinux/

AudeLA is a TCL extension aimed at providing amateur astronomers with image processing, telescope controling, ccd camera driving, and various astronomical algorithms. Web site : https://sourceforge.net/p/audela/wiki/fr_accueil Web site : https://sourceforge.net/p/audela/wiki/en_welcome