Search Results for "parallel image segmentation" - Page 11
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Showing 263 open source projects for "parallel image segmentation"
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Medical Image Computing Workflow (MICFlow) is a simple, easy but flexible, extensible and powerful workflow system to automate medical image computing tasks such as segmentation, registration and analysis. It's pure Python so can be used on any platform
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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.
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OpenVL is a framework for handling, processing & visualizing volumetric data (CT, MRI etc). It provides: powerful data access & layout API, plugins for volume processing tasks (image processing, segmentation etc), and support for multiple file-formats.
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The Volume Browser is a graphical tool to navigate 3D Voxel Data. Additional features are: - Segmentation - Color Coding - 3D and 2D Browsing
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Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)
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JisM is a multi-threads program allowing users to perform segmentation's tasks on a picture. Users could add new segmentation methods as JisM's plugins. Plugins can be written in Java or in Python.
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keras2cpp_multithreading
convert your keras model in c/c++ code with multithreading
Train your Keras image segmentation model and then infer into it your c/c++ project by converting it into c/c++. No need to install python/Keras to infer model. Made for image segmentation. -
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im-browser
MIB is a high-performance software package for image segmentation
Microscopy Image Browser (MIB) is a high-performance software package for advanced image processing, segmentation and visualization of multi-dimensional (2D-4D) light and electron microscopy datasets. Home page: http://mib.helsinki.fi -
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PetroSeg
PetroSeg is a user-friendly web application developed with Streamlit,
Key Features: Interactive Segmentation: Upload your images and watch PetroSeg automatically segment them into distinct regions. Parameter Control: Adjust the segmentation process with sliders to modify parameters such as the number of learning epochs and the image size. Customizable Colors: Easily change the colors of the segmented regions to suit your visualization needs. -
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ifscat is an Interactive Feature Selection and Classification Tool for image processing and segmentation.
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HEXRD
hexRD is a toolkit for analyzing High Energy X-ray Diffraction data
HEXRD is for the analysis of High Energy X-ray Diffraction data. It can perform angular calibration for area detectors, polar rebinning and line profile fitting, as well as segmentation and indexing of rotating crystal image stacks (3DXRD). The most up-to-date versions will be made available on <a href="https://github.com/praxes/hexrd.git">GitHub</a>, but we will upload stable versions here periodically. -
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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
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
... - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders.
