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...Please cite the following papers when using any image in this archive:
* ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298
* ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014.
The Integrated Analysis Platform (IAP) has been designed and developed to support the analysis of large-scaleimage data sets of different camera systems. It aims in bridging different data domains and in integrating different approaches to data analysis and post-processing.
A slick interface to see various scale analysis algorithms in action.
The Shape Visualizer is intented to be an exploratory/educational tool making it quick and easy to see how various mathematical methods perform in analysing and selecting the various patterns present on an image.
The main website is built as a wiki gathering info and examples on the various implemented algorithms.
The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis.
Feel free to contribute code or wiki content !
Calculating 2D-Gray-scale bitmaps Calculation of a 3D-rotation-body form a detected area by using different image processing algorithms. Developed for the German Aerospace Center (DLR). Used Projects: Substance (GUI)
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Mseg is a generic region-based multi-scaleimage segmentation algorithm designed with some optimizations for remote sensing imagery. The algorithm can be used as a low level processing part of an object-oriented image analysis system.
This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.