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- Title
A Study and usage of Visual Features in Content Based Image Retrieval Systems.
- Authors
Kumari, Bandna; Bharadwaj, Shruti
- Abstract
Image retrieval is a prominent area of digital image processing. Images can be retrieved from a large collection of database images on the basis of text, color and structure. Content-based image retrieval uses the visual content of images such as color, shape, texture and spatial layout for representing and indexing the images. In a typical CBIR system, the visual content of the images in the database are extracted and displayed by multi-dimensional feature vectors. The feature vector of the images in the database is a feature database. To retrieve the images, users provide the retrieval system with query images. The system then changes query into its internal representation of feature vectors for both query and database images .In this paper we present introduction and literature review on various content based image retrieval techniques.
- Subjects
DIGITAL image processing; CONTENT-based image retrieval; IMAGE color analysis; TEXT mining; TEXT editors (Computer programs)
- Publication
International Journal of Advanced Research in Computer Science, 2017, Vol 8, Issue 5, p2576
- ISSN
0976-5697
- Publication type
Article