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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
A photo album program for Linux using 'Kulina Graphics' (https://sourceforge.net/projects/kulinagraphics).For Camera interface 'kgalbum' uses 'gphoto2'. For image processing features 'Kulina Graphics' uses 'GraphicMagick'.
A tool for the quantitative evaluation of differences in color images
...It is intended to provide researchers and professionals with an accurate and user-friendly means of assessing color variation and discrepancies in digital images according to different metrics.
Contacts:
Filippo Piccinini (emails: filippo.piccinini@irst.emr.it; f.piccinini@unibo.it)
Repository:
https://sourceforge.net/p/colori-dt/
How to cite us when using the tool:
Filippo Piccinini et al. “Colori-DT: an open-source tool for the quantitative evaluation of differences in microscopy color images”.
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...But the output can also be saved as a video file.
Control GLMixer through network using OpenSoundControl, and generate graphics with ShaderToy GLSL code.
Download : https://sourceforge.net/projects/glmixer/files/
Please note GLMixer is discontinued and superseded by vimix
https://brunoherbelin.github.io/vimix/
Update: A graphical user interface for RootAnalyzer, along with other root phenotyping tools can now be found at https://sourceforge.net/projects/rootphenotypingsuite/
RootAnalyzer is a fully automated tool, for efficiently extracting and analyzing anatomical traits from root cross section images. Using a range of image processing techniques such as local thresholding and nearest neighbor identification, RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and subsequently produces statistics about the morphological properties of the root cells and tissues.
fill a selection according to neighboring gradient area
...Note, since this plug-in is written in python and involves optimization problems and non-filter operations, this script's runtime can be rather long, depending on the size of your image selection.
Consider donating to this project: https://sourceforge.net/projects/gimp-g-e/donate