Open AccessNeutrosophic Features for Image Retrieval
Author(s) -
A. A. Salama,
Mohamed Eisa,
Hewayda ElGhawalby,
A.E. Fawzy
Publication year - 2016
Publication title -
unm’s digital repository (university of new mexico)
Language(s) - English
DOI - 10.5281/zenodo.570857
Subject(s) - artificial intelligence , information retrieval , computer science , image retrieval , pattern recognition (psychology) , image (mathematics) , computer vision
The goal of an Image Retrieval System is to retrieve images that are relevant to the user's request from a large image collection. In this paper, we present texture features for images embedded in the neutrosophic domain. The aim is to extract a set of features to represent the content of each image in the training database to be used for the purpose of retrieving images from the database similar to the image under consideration