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114412

REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK

Article

Last updated: 26 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

Region-based image retrieval (RBIR), a special type of content based image retrieval (CBIR), is an important research. This paper presents integration of RBIR with relevance feedback (RF) to enhance the performance of CBIR. Watershed algorithm is used to extract regions but not all regions are with the same importance. So, a region-weighting scheme reflecting the process of human visual perception is proposed. By using relevance feedback method, the matching process could improve retrieval performance interactively and allow progressive refinement of query results according to the user's feedback action.

DOI

10.21608/jesaun.2012.114412

Keywords

Relevance feedback, Region-based image retrieval, Content-based image retrieval, Attention center, Integrated region matching, Watershed segmentation, Feature Extraction

Authors

First Name

A.

Last Name

Hamdy

MiddleName

-

Affiliation

Department of Communications, and Computers Engineering Faculty of Engineering, Helwan University Cairo, Egypt

Email

alaa_abdelkader@h-eng.helwan.edu.eg

City

-

Orcid

-

Volume

40

Article Issue

No 3

Related Issue

16850

Issue Date

2012-05-01

Receive Date

2012-01-02

Publish Date

2012-05-01

Page Start

819

Page End

832

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 40_Issue No 3_Pages 819-832.pdf

PDF . 514.3kB

Link

https://jesaun.journals.ekb.eg/article_114412.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114412

Order

12

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK

Details

Type

Article

Created At

23 Jan 2023