Search Results for "image analysis algorithm" - Page 10
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Showing 278 open source projects for "image analysis algorithm"
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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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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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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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UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.
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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
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NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.
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CryptoHelper is a Java program designed to aid in the decryption of classical ciphers, ie pre WWII ciphers. It brings together tools like frequency analysis, friedman tests, enciphering/deciphering for several clasical ciphers, and brute force algorithm
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An omnifont OCR software for KDE. Due to the fact that each step of the OCR process can be visualized you can get a quick idea of how OCR works and where the problems lie. However the program may be of minor/no use for end users in its current state.
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Java Randomness Test Suite is a gui application to run randomness tests on random stream resource (file or algorithm). Application can be run in command line. Includes general statistical tests, NIST and DIEHARD tests.
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The algorithm allows any kind of weights (costs, frequencies), including non-numerical ones. The {0, 1, ..., n-1} alphabet is used to encode message. Built tree is n-ary one.The algorithm is based on a set of template classes : Cell(SYMBOL, WEIGHT), Node(
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Graphl is a generic graph visualization and manipulation tool written in Java. Graphl reads and writes RDF files, visualizes them in a flexible and customizeable way and allows users to edit them intuitively. Please see project homepage for more info...
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The TreeQ package is a set of C-language applications that implement a automatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.
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TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.
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Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.
