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Gigapixel GPU accelerated radio interferometric imager
ExCon can create images with a very wide field of view (more than billion pixels). It implements novel gridding and image weighting algorithms. It is well suited to make ultra deep radio interferometric images, minimizing aliasing artefacts and PSF variation. NVIDIA GPU acceleration is available. JAVA/SCALA support available.
Morphometric analysis and visualization of the 3D structure of neurons
... and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data.
Py3DN is described in the paper:
Aguiar P et al, "Versatile morphometric analysis and visualization of the three-dimensional structure of neurons", Neuroinformatics, 2013, 11(4):393-403
doi: 10.1007/s12021-013-9188-z
This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed.
This project is partly based on the Sobel Filter sample available as part of the CUDA SDK.
This project also partly uses the OpenCV library to load different types of image.
This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify...