Open AccessContent Based Image Retrieval: A Review
Author(s) -
Ramandeep Kaur,
V. Devendran
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j7453.0891020
Subject(s) - computer science , content based image retrieval , image retrieval , information retrieval , feature (linguistics) , feature extraction , image (mathematics) , image texture , artificial intelligence , pattern recognition (psychology) , computer vision , image processing , linguistics , philosophy
Image recovery was one of the most thrilling and vibrant fields of computer vision science. Content-based image retrieval systems (CBIR) are used to catalog, scan, download and access image databases automatically. Color & texture features are significant properties for content-based image recovery systems. The content-based image retrieval (CBIR) is therefore an attractive source of accurate and quick retrieval. Number of techniques has been established in recent years to improve the performance of CBIR. This paper discusses why CBIR is important nowadays along with the limitations and benefits. Apart from applications, various feature extraction techniques used in CBIR are also discussed.