Search Results for "morphological image processing" - Page 23
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Showing 725 open source projects for "morphological image processing"
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TooRAW is a little app that takes a folder containing a PNG image sequence and merges it into a single RAW video stream. Built with Processing 1.2.1
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An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType).
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PIAF (Prototype Image Applications Fast) is a prototyping tool for helping development of image processing algorithms. Based on a Qt GUI, it can display and process several live video inputs or still images with a plugins based architecture.
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VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk
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Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.
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Small programs for special image processing tasks with wrapper script for seamless integration into GIMP.
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An open source interactive computer program for Continuum Mechanics, Image analysis, Signal processing and System Identification. Target usage: Bioengineering application of finite element analysis, boundary element and collocation techniques.
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The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.
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Surface Defects Analyzer is the project of control system implementation which is used for detecting and measurement of geometric parameters of surface defects based on stereo images processing.
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A application with simple image processing functions which are used for medical image analysis / image analysis in general as a part of my academic project. The functions are written from scratch from various image processing algorithms.
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An easy to use application for batch-scaling images.
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An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
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This project defines the Simple API for Binary REpresentations (SABRE) for processing hierarchically structured, binary-oriented documents, comparable to the Simple API for XML (SAX). The library is e.g. used in the Java ISO Image Creator (JIIC).
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KBookReader is a Linux KDE twin-panel text files viewer specialized in reading e-books. It supports multiple bookmarks, custom fonts, encoding selection.
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HornetsEye Ruby Computer Vision Library
Ruby computer vision library
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information). -
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This is a small Java based library and a software developed on NetBeans for the studying purposes of CS students who are doing image processing. -sasi
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The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
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Filters is a image processing library: filter sobel,convolution,morphology,vectorization,segmentation,blob,blur,histogram,susan,threshold,texture,contrast,standard deviation,canny,distance map,matrix,contour,edge,rotation,correlation,gradient anisotropic
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A gathering of state-of-the-art tools for GPU based image processing. They are the sourcecode for related research articles, and provide the basis for own experimentation. All are being implemented forNVidia GPUs in Linux, hence the name "nvision" ;)
