An enhancement on content-based image retrieval using color and texture features

Other Title(s)

تحسين استرجاع الصور بالاعتماد على أساس اللون و صفات الملمس

Dissertant

Mihyar, Tamir J.

Thesis advisor

al-Atum, Jalal Umar

Comitee Members

Ujan, Arafat
Ubayd, Nadim Ali Miri
Khasawinah, Baha

University

Princess Sumaya University for Technology

Faculty

King Hussein Faculty for Computing Sciences

Department

Department of Computer Sciences

University Country

Jordan

Degree

Master

Degree Date

2012

English Abstract

As the digital technology advances, especially the data storage and image capturing technologies, more digital images are being created and stored digitally.

This led to the creation of large numbers of digital image libraries.

Hence, the need for intuitive and effective image storage, indexing, classification and retrieval mechanisms rises.

In this Thesis, an enhancement on the use of color and texture visual features in Content-Based Image Retrieval (CBIR) is proposed by adding a new color feature called Average Color Dominance which tries to enhance color description using the dominant colors of an image.

The proposed methodology was compared with the work of Kavitha at all [1] and has shown an increase in the average precision from 40.4 % to 45.06 %.

Main Subjects

Information Technology and Computer Science

Topics

• Digital electronics
• Indexing

No. of Pages

64

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-316251