UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRAB06061


Registration ID:
197829

Page Number

348-353

Share This Article


Jetir RMS

Title

A Review on Feature Extraction Techniques for CBIR with different BTC methods

Abstract

Content Based Image Retrieval (CBIR) is one of the fastest growing research areas to search the relevant images from the large image collections by analyzing the content of the user required query image. The retrieval time in CBIR is reduced by extracting the image features from the compressed image instead of the original image. The Block Truncation Coding (BTC) is a very efficient compression technique which requires least computational complexity and it can also effectively employed to index images in database for CBIR applications. Various improved versions of BTC methods are available for compression which is suitable for CBIR. This paper gives the review of feature extraction techniques for CBIR with different BTC methods such as Ordered Dithering BTC(ODBTC), Error Diffusion BTC (EDBTC), Dot Diffusion (DDBTC).

Key Words

Bitmap feature, Block truncation coding (BTC), Color feature, Content based image retrieval (CBIR).

Cite This Article

"A Review on Feature Extraction Techniques for CBIR with different BTC methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.348-353, February-2019, Available :http://www.jetir.org/papers/JETIRAB06061.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Review on Feature Extraction Techniques for CBIR with different BTC methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp348-353, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06061.pdf

Publication Details

Published Paper ID: JETIRAB06061
Registration ID: 197829
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.27613
Page No: 348-353
Country: Thoothukudi , Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003019

Print This Page

Current Call For Paper

Jetir RMS