Search Results for "cbir"

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.

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.

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.

Content based image retrieval

Content Based Image Retrieval system (final year project) implementing colour, texture and shape based relevancy matching for retrieval

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).

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.

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 ).