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digiKam has been in development since before 2006. As of version 0.9 features include a GPS locator [9] and synchronization, [10] iPod Photo upload support, [11] an advanced metadata editor, [12] better support for raw image formats (using dcraw included in digiKam), full color management, a light-table, [13] pan-tool in Image Editor and Preview mode, improvements in usability, and many new ...
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 ...
MITK, the Medical Imaging Interaction Toolkit is an open source project for developing interactive medical image processing software, developed at the Deutsche Krebsforschungszentrum, Heidelberg Voreen , an open source, multi-platform volume rendering engine, maintained by the Visualization and Computer Graphics Research Group (VisCG) at the ...
A computer-assisted design (CAD) tool for synthetic biology, used to design genetic constructs based on grammar rules. Linux, macOS, Windows: Apache License 2.0 GenoCAD Team (Virginia Bioinformatics Institute) Genomespace: Centralized web application that provides data format transformations and facilitates connections with other bioinformatics ...
Scilab is a free and open-source, cross-platform numerical computational package and a high-level, numerically oriented programming language.It can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, numerical optimization, and modeling, simulation of explicit and implicit dynamical systems and (if the corresponding toolbox is installed) symbolic ...
Fiji [4] [5] is an open source image processing package based on ImageJ2. Fiji's main purpose is to provide a distribution of ImageJ2 with many bundled plugins. Fiji features an integrated updating system and aims to provide users with a coherent menu structure, extensive documentation in the form of detailed algorithm descriptions and ...
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.
Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a positive effect on image quality.