Search Results for "cbir"
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Showing 8 open source projects for "cbir"
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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Golden Retriever-Image Retrieval Engine
Library and frontend engine for performing Image Retrieval tasks.
The GRire library is a light-weight but complete framework for implementing CBIR (Content Based Image Retrieval) methods. Currently, the main objective of the project is the implementation of BOVW (Bag of Visual Words) methods so, apart from the image analysis tools, it offers methods from the field of IR (Information Retrieval), e.g. weighting models such as SMART and Okapi, adjusted to meet the Image Retrieval perspective. The purpose of the project is to help developers create... -
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SCICBIR ( Scilab CBIR )
A content based image retrieval (CBIR) system in Scilab
This is the first version of kannan Balakrishnans scicbir project.This is a content based image retreival (CBIR) system in SCILAB. Released under GNU GPL, this system is very flexible. -
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Content Based Image Retrieval system
Content Based Image Retrieval system
Content Based Image Retrieval system (final year project) implementing colour, texture and shape based relevancy matching for retrieval -
This product is especially great for project managers, COOs, finance professionals, accountants, or payroll admins in any industry.
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Content-based Image Retrieval (CBIR) consists of retrieving visually similar images to a given query image from a database of images. It is done by comparing selected visual features such as color, texture and shape from the image database.
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BRISC (BRISC Really IS Cool) is 1) a library for Haralick, Gabor and Markov image feature extraction from pulmonary nodule DICOM images and 2) a simple content-based image retrieval (CBIR) system for pulmonary nodule databases (ie. LIDC).
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Openbaar constitutes a client for the Multimedia Retrieval Markup Language (MRML), specifically for servers implementing the Gnu Image Finding Tool (GIFT) for content based image retrieval (CBIR), for usage by eye tracker or alternatively mouse.
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This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).
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