Search Results for "morphological image processing" - Page 15
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Showing 380 open source projects for "morphological image processing"
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The aim of this project is to offer an image processing library dedicated to Mathematical Morphology
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OpenPollution is an open distributed system based on CORBA providing air-pollution measurement, data mining and image processing. It uses C++ and Java languages. and supports heterogenous systems such as Linux, Windows, and Windows CE.
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Improla == IMage PROcessing LAb. It is meant for image processing research and teaching. From ImprolaLib-0.0.2, it supports reading and writing PNG images. It uses PNGwriter(pngwriter.sourceforge.net) for this purpose.
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Written in Python and the Numeric package. It supports the examples of the book: Dougherty and Lotufo, Hands-on Morphological Image Proc., SPIE, 2003, ISSN=0-8194-4720-X. This toolbox has been continued at www.adessowiki.org under name ia870.
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Generic Image processing Library of Library (GILL) is a cross-platform and GP-based C++ image processing architecture helping to develop flexible and expandable image processing library.
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Testlab for Image Processing: You can enter formulas like "r = r + b/2; g=g*2; b=b/2" and watch/store the Result. Alternatively cou can run a convolution matrix on the source image. Implemented in Java, fully GUIed, avg. performance.
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EdhLib is a general C++ extension library for MFC. This includes derivatives of MFC classes, and new classes including helpers for threading, networking, string manipulation, graphics rendering, image processing, simulations, and data persistence.
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GLipKit (GL Image Processing Kit) is a collection of image processing and computer vision algorithms performed on current programmable 3D graphics hardware for faster execution. The main focus is currently computational stereo.
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ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/
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The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.
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DIPlib - is Digital Image Processing Library, implemented with C and OpenGL programmable pipeline(ARB(NV)_fragment_program and ARB_fragment_shader).
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The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.
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Uses Microsoft VisualBasic 6.0, the Intel image processing library and the ezCap 6.0 OCX control to capture webcam images and upload them to FTP servers for online viewing. Goal is to have an efficient program with ease of use and power.
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pdi_lib a collection of digital image processing function implemented as a module for python. The code is written in Pyrex for clarity and speed improvement.
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CartoGimp is a Gimp plugin that enables the rendering of geographic data files (DEM, DLG, GNIS, etc.) It has many of the features of Drawmap, but with a graphical user interface and the Gimp's powerful image processing capabilities.
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Java classes and packages for digital image processing under ImageJ using the Colt Java API, and an enhanced Plugins Control Panel for ImageJ
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An image processing environment, based in Java, and developed on the concept of filters applied to an input. Maybe it will work out, maybe it won't. But it's better then wasting space on SourceForge for an old game...
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C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.
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openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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Create a gamer who can play instead of you. Using image processing and aritificial intelligence, a AI robot will play a game and may clear the most difficult level.
