Search Results for "image segmentation"
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Showing 11 open source projects for "image segmentation"
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ProStack
ProStack - a platform for image processing and analysis
ProStack - a platform for image processing and analysis. It implements various image processing methods as separate modules, that can be joined in a complex image processing scenario by use of a graphical user interface. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio -
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Scilab Image Processing Toolbox
Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS
SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel -
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Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.
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Multispectral image region merging segmentation. Please use Subversion to download latest version. Repository address is https://segmentation.svn.sourceforge.net/svnroot/segmentation
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Fully automated segmentation of moving objects from a stationary scene using pre-stored scene images. Needs no external parameters or settings; all parameters are derived internally from the pre-stored images. Implemented using OpenCV framework.
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Interactive segmentation of objects in photos using alpha-matting technique. This task, also known as 'intelligent scissor' works in particular for semi-transparent objects and fuzzy borders.
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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
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Ise module and its graphical plugin Gise are part of an image segmentation project. New MPEG7 descriptors could be added so as to improve the application.
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A project being an introduction to fuzzy pattern recognition. This is only fuzzy image segmentation, together with an image processing pipeline to operate on colour images.
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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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