Search Results for "parallel image segmentation"

Here we present an image-based Multi Channel Classification and Clustering System (MCCCS). It is an generalized, script-based classification system for processing various kinds of image data. Due to the modular design, individual processing-components can be easily adapted, extended or exchanged by own extensions. See project website for installation instructions.

DRAMMS is a software package designed for 2D-to-2D and 3D-to-3D deformable medical image registration tasks. Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse...

MDSTk is a collection of 2D/3D image processing tools aimed at medical images. It contains routines for volume data processing (3D filtering, segmentation, etc.) as well as fast low-level vector graphics library for surface and tetrahedral meshing. MDSTk has been forked by 3Dim Laboratory s.r.o. to provide better support and further push its development forward.

Fourier is a portable image processing and analysis library written in ANSI C. It implements operations such as color space conversions, noise removal, enhancement, morphology, edge detection, thresholding, segmentation, and visual feature extraction

SMIT (Scientific & Medical Imaging Tool) assists in image analysis of 3D datasets. It supports image registration, image segmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!

Open Source and Portable object oriented software for 3D digital image segmentation and visualization. Pipes and Filters Architechture. Implemented in C++, and uses FLTK, VTK, ITK, TCL (plugins), and pipeline filters implemented in XML. DICOM support.

The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org