Content-Based Image Retrieval Using Texture Color Shape and Region

Interests to accurately retrieve required images from databases of digital images are growing day by day. Images are represented by certain features to facilitate accurate retrieval of the required images. These features include Texture, Color, Shape and Region. It is a hot research area and researc...

Full description

Saved in:
Bibliographic Details
Published in:International journal of advanced computer science & applications 2016, Vol.7 (1)
Main Authors: Hamad, Syed, Iqbal, Arif, Naz, Saeeda, ul, Noor, Imran, Muhammad, AlHaqbani, Bandar
Format: Article
Language:English
Subjects:
Color
Digital imaging
Image retrieval
Literature reviews
State-of-the-art reviews
Texture
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Interests to accurately retrieve required images from databases of digital images are growing day by day. Images are represented by certain features to facilitate accurate retrieval of the required images. These features include Texture, Color, Shape and Region. It is a hot research area and researchers have developed many techniques to use these feature for accurate retrieval of required images from the databases. In this paper we present a literature survey of the Content Based Image Retrieval (CBIR) techniques based on Texture, Color, Shape and Region. We also review some of the state of the art tools developed for CBIR.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2016.070156