COMPREHENSIVE STUDY ON CONTENT BASED IMAGE RETRIEVAL WITH THEIR FEATURES

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2017, Vol 16, Issue 6

Abstract

In current years, very huge collections of images and videos have grown swiftly. In parallel with this boom, content-based image retrieval and querying the indexed collections of images from the large database are required to access visible facts and visual information. Three of the principle additives of the visual images are texture, shape and color. Content based image retrieval from big sources has a wide scope in many application areas and software’s. To accelerate retrieval and similarity computation, the database images are analyzed and the extracted regions are clustered or grouped together with their characteristic feature vectors. As a result of latest improvements in digital storage technology, it's easy and possible to create and store the large quantity of images inside the image database. These collections may additionally comprise thousands and thousands of images and terabytes of visual information like their shape, texture and color. For users to make the most from those image databases, efficient techniques and mechanisms of searching should be devised. Having a computer to do the indexing primarily based on a CBIR scheme attempts to deal with the shortcomings of human-based indexing. Since an automated process on a computer can analyze and process the images at a very quick and efficient rate that human can never do alone. In this paper, we will discuss the structure of CBIR with their feature vectors.

Authors and Affiliations

Pritpal kaur, Sukhvir Kaur

Keywords

Related Articles

TheWorkQueue with Dynamic Replication-FaultTolerant Scheduler in Desktop Grid Environment

Desktop Grid is different from Grid in terms of the characteristics of resources as well as types of sharing. Particularly, resource providers in Desktop Grid are volatile, heterogeneous, faulty, and malicious. These dis...

Towards Standardized Conformance Test Suite for ISO Transport Layer Protocol

In this paper, we develop a sound Conformance Test Suite for the Transport Layer Protocol Internationally standardized by both ISO and IEC.  This is to test the implementations of the protocol, promote and facilitate st...

Survey on the Research Challenges of Radio Resource Management in LTE-A and the Current Proposed Solutions for these Challenges

Long Term Evolution-Advanced (LTE-Advanced) has been recently submitted by the 3rd Generation Partnership Project (3GPP) to the International Telecommunication Union (ITU) as one of the candidates 4G technologies. LTE-Ad...

A Proposed Non Linear Block Based Approach for Image De-Noising Using Wavelet

Coding of images or processing of images has played a momentous role in the success of digital communications and multimedia. Coding plays a major role is 3D mobile generation. The image processing methods have been expl...

Effects of Internal Heat Generation and Variable Viscosity on Onset of Rayleigh-Benard Convection

In the present study, onset of stationary Rayleigh-Benard convective instability in a fluid layer, with internal heating and thermally dependent viscosity has been investigated by means of linear stability analysis. The...

Download PDF file
  • EP ID EP650946
  • DOI 10.24297/ijct.v16i6.6348
  • Views 107
  • Downloads 0

How To Cite

Pritpal kaur, Sukhvir Kaur (2017). COMPREHENSIVE STUDY ON CONTENT BASED IMAGE RETRIEVAL WITH THEIR FEATURES. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 16(6), 6962-6967. https://europub.co.uk/articles/-A-650946