Search Results for "image analysis algorithm" - Page 15
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Showing 543 open source projects for "image analysis algorithm"
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The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is: Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002 The ImageJ *Shape Filter Plugin* (see downloads) uses this library for flitering the blobs by its shape.
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ABM-Calibration-SensitivityAnalysis
Codes and Data for Calibration and Sensitivity Analysis of ABM
...Parameter fitting: 1. Full Factorial Design 2. Simple Random Sampling 3. Latin Hypercube Sampling 4. Quasi-Newton Method 5. Simulated Annealing 6. Genetic Algorithm 7. Approximate Bayesian Computation b. Sensitivity Analysis: 1. Local SA 2. Morris Screening 3. DoE 4. Partial (Rank) Correlation Coefficient 5. Standardised (Rank) Regression Coefficient 6. Sobol' 7. eFAST 8. FANOVA Decomposition Have also a look on our other projects: http://www.uni-goettingen.de/de/315075.html -
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HAWK - PDF Text Search Java Project
No more support for this project - TAKE A LOOK AT FALCONSEARCH
No more support for this project - TAKE A LOOK AT FALCONSEARCH "https://sourceforge.net/projects/falcontextsearch/" -
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HIPAcc
Heterogeneous Image Processing Acceleration (HIPACC) Framework
HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages. -
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Unsupervised TXT classifier
Classify any two TXT documents, no training required - JAVA
...First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). ... -
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L3TK is a Java-based software toolkit for analysis of Level 3 fingerprint features in high resolution fingerprint images. Level 3 fingerprint features are the sweat pores, ridge contours, and edgeoscopic points along the contours.
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AlgART Java Libraries
Open source library for processing arrays and matrices
AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over... -
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Classical Apriori and Reverse Algorithm
Apriori Algorithm and its Reverse Approach with Comparison
Apriori Algorithm and its Reverse Approach with Comparative Analysis in terms of Execution Time Apriori Algorithm is used in Data Mining for Association Rule Mining -
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Cellset is an image-analysis tool developed to quickly analyse the properties of plant root cells in confocal microsope images.
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Gerbil
Hyperspectral Image Visualization and Analysis Framework
The Gerbil project moved to http://www.gerbilvis.org Please visit us there for up-to-date information and current software releases! -
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C++Elegans
Lightweight and easy to use image manipulation and analysis software.
...C++Elegans is being written as part of our iGEM project and makes use of some useful image analysis algorithms. -
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AsphaltOpen is a project to visualize data collected during road asphalting operations. Asphalt contractors can use the software to visualize their operations, learn from the visualizations, and improve their processes continually.
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ivantk
Image-based Vascular Analysis Toolkit
The Image-based Vascular Analysis Toolkit is a set of multiplatform C++ libraries for vascular analysis of (3D) medical images, typically CT or MRI. It can be considered as an extension of the Insight Toolkit (ITK) for vascular image analysis, with methods for detection, extraction and modeling of vascular structures. -
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LAVA for AFM
Lloyd's Algorithm-based Volumetric Analysis for AFM Images
This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. -
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2P Toolbox
Two-Photon Data Analysis Toolbox
The 2P_Tools.jar is a series of hopefully useful Fiji Plugins to evaluate data acquired by two-photon imaging. It supports multiple features like conversion to normalized image stacks, preprocessing and image segmentation. -
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Chart Wars 3
Chart Wars 3 is the latest installment of the music industry sim
...The game puts you in charge of your very own record company, you must hire bands, release and promote records, and arrange tours, all whilst balancing the books, expanding your label and competing with intelligent computer opponents. Main features include: Image - now how your artist looks is just as important as how well they sing. Increased staff interaction - Your personnel now present you with scouting reports, image analysis results and even keep an eye on your artists for you, Events system - Artists now have a private life: an artist could start dating, years later they could get married, have kids etc or they could find themselves trapped in long battles with drink or drugs. ... -
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3D Braincv
vectorize and analyze the cells and blood vessels simultaneously
...However, we still knows little about the detailed neuronal connections and vascular architecture, and the systematic reconstruction and analyses still remains a great challenge. One of the main obstacles is the lack of effective image analysis software to help us to get insight of the underlying principle of brain organization and function. -
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Malimpa stands for MAtlab Library for IMage Processing and Analysis. It provides functions for 2D/3D grascale/color image creation, filtering, or measurement. It requires, and complements Matlab Image Processing Toolbox. Important notice: the project is now hosted in GitHub, https://github.com/dlegland/matImage
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The Document Analysis and Exploitation Platform is a Drupal based web interface to a cloud enabled Document Analysis resource set.
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NeSSi2
Network security simulator
At the moment NeSSi² is not actively maintained anymore since we are planning a successor project. NeSSi² is a network simulation tool suite addressing in particular network security aspects. Sample capabilities are profile-based attack generation, traffic analysis and support for attack/malware detection algorithm plugins. -
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Ofeli (as an acronym for Open, Fast and Efficient Level set Implementation) demonstrates how to operate an image segmentation algorithm of Y. Shi and W. C. Karl |1|, using a discrete approach for the approximation of level-set based curve evolution (implicit active contours). This is a novel (2005) and fast algorithm without the need of solving partial differential equations (PDE) while preserving the advantages of level set methods, such as the automatic handling of topological changes. ...
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EMGU Face Recognition
Using EMGU to perform Principle Component Analysis (PCA)
This article is designed to be the first in several to explain the use of the EMGU image processing wrapper. For more information on the EMGU wrapper please visit the EMGU website. You will start with 3 warnings for the references not being found. Expand the References folder within the solution explorer delete the 3 with yellow warning icons and Add fresh references to them. Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). ... -
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dbtesma
efficient data generation for benchmarks and performance analysis
Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies. -
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Edge Detection using Canny
A rough edge detection using the canny edge detection algorithm
The algorith detects the corners of the object in the image. Usefull when you want to detect only one object, that can be encased in a rectangle.
