Search Results for "image analysis algorithm" - Page 12
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Showing 350 open source projects for "image analysis algorithm"
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FVS is a cross-platform 2-D image and 3-D object analysis library. It is intented for use within content-based retrieval systems to facilitate retrieval of "similar" images or objects to a given query image or object.
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AbuGraph is a freely available Java application for the layout and visualization of directed graphs. Bound to a TCP port, it supports dynamic graph creation receiving commands from a telnet console or another third party application.
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callgraph is a project that provides an algorithm for an optimal vertex positioning of any connected graph in 3D, as well as the library and sample application for viewing graphs in 3D.
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Digital Image Processing Toy process in real time live images captured from video4linux compatible hardware. Remove background from captured tv camera images, invert image colors, split rgb field, display coor istograms, etc.... Strong changes in light i
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Frida is image analysis software. Frida was developed by the Johns Hopkins University Tissue Microarray Core Facility. It is open source and written in 100% Java. Frida makes use of functionality from the NIH's ImageJ application. Note: Frida was integr
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The XAI project aims at developing an extensible framework for developing and prototyping real time video analysis algorithms by allowing composition and execution of such algorithms in the form of data flows between algorithm blocks.
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DigitalEyes is an OCR (Optical Character Recognizer) developed in C/Caml released under GNU GPL by SuM42, as a sophomore project in EPITA.
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Mseg is a generic region-based multi-scale image segmentation 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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hgboost is a header-only library which contains a generic hypergraph implementation and provides vertex/node contraction and vertex/edge filtering. It contains algorithms to compute cohesive subgroups, minimum cuts and maximum flows.
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PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!
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vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.
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A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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EMPEPA is software that permits to find the most likely rates of a PEPA model according to a set of sample executions by using the EM algorithm. It uses the GNU Scientific Library (GSL).
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UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.
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RoboRealm Extensions are plugins to the RoboRealm application that allow you to extend RoboRealm in whatever way you need. RoboRealm is a powerful computer vision based application for use in machine vision, image analysis, and image processing systems.
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The TMpred program makes a prediction of membrane-spanning regions and their orientation. The algorithm is based on the statistical analysis of TMbase, a database of naturally occuring transmembrane proteins.
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SMIT (Scientific & Medical Imaging Tool) assists in image analysis of 3D datasets. It supports image registration, image segmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!
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Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).
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Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.
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This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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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