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This project Human Face Detection is based on java for detecting the face present in image inputted from memory. This face detection project is based on skin color detection method and imagesegmentation based on region growth algorithm.
However being minor project and also due to time deficiency the output of this project isn't so convincing. Regardless of it it is simple and easily understandable.
"MITO - Medical Imaging TOolkit" is an open-source, Windows-based software architecture for advanced Medical Imaging. Main characteristics are: DICOM compliant, 2D/3D/S3D visualization, imagesegmentation and fusion, ROI, advanced 3D user interface
3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting,DICOM support. Integration environment for VTK, ITK and vtkInria3D under wxWidgets
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Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
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
HWST stands for "Hierarchical Watershed Transformation" which is an imagesegmentation technique. The HWST library was designed for a comfortable use as a JAI operator (Java Advanced Imaging).
Mseg is a generic region-based multi-scale imagesegmentation 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.
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SMIT (Scientific & Medical Imaging Tool) assists in image analysis of 3D datasets. It supports image registration, imagesegmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!
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
Open Source and Portable object oriented software for 3D digital imagesegmentation and visualization. Pipes and Filters Architechture.
Implemented in C++, and uses FLTK, VTK, ITK, TCL (plugins), and pipeline filters implemented in XML. DICOM support.
A low code unified framework for computer vision and deep learning
.../Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, imagesegmentation, 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.