eprintid: 2998
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/29/98
datestamp: 2023-11-09 15:51:15
lastmod: 2023-11-09 15:51:15
status_changed: 2023-11-09 15:44:45
type: article
metadata_visibility: show
creators_name: Malik, F.
creators_name: Baharudin, B.
title: Features analysis for content-based image retrieval based on color moments
ispublished: pub
keywords: Block sizes; CBIR system; Color moments; Content-Based Image Retrieval; Database images; Different sizes; Feature vectors; Features extraction; Gray-scale images; Image database; Query images; Similar image; Similarity measurements; Spatial features; Sum-of-Absolute Difference (SAD), Algorithms; Color; Content based retrieval; Database systems; Efficiency; Feature extraction, Image processing
note: cited By 7
abstract: In this study an efficient and accurate algorithm is proposed for Content-Based Image Retrieval (CBIR). The CBIR is performed in two steps: features extraction in images and similarity measurement for searching of similar images in image database. For efficient and effective CBIR system the features extraction must be fast and the searching must be accurate. In the proposed algorithm, the effective retrieval of the similar images from the database is based on the efficient extraction of the local statistical color moment features without using the spatial features of images. The basic idea in this algorithm is to convert the color RGB (Red Green and Blue) image into grayscale image to reduce the computations in feature extraction and to increase the efficiency. The grayscale image is divided into non-overlapping blocks of different sizes. The local statistical color moment features are extracted in all blocks. The features are combined into a feature vector. The similarity is measured by using Sum-of-Absolute Difference (SAD) to measure the similarity between query image and database images. In the experiment, the efficiency of feature extraction and accuracy of the image retrieval are measured for different block size methods using the proposed algorithm. The Corel database is used for testing. The results show that the proposed CBIR algorithm provides higher performance in terms of efficiency and accuracy. © Maxwell Scientific Organization, 2012.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862063833&partnerID=40&md5=cb30efa0a20fa6f7ccc85a6c64deb694
full_text_status: none
publication: Research Journal of Applied Sciences, Engineering and Technology
volume: 4
number: 9
pagerange: 1215-1224
refereed: TRUE
issn: 20407459
citation:   Malik, F. and Baharudin, B.  (2012) Features analysis for content-based image retrieval based on color moments.  Research Journal of Applied Sciences, Engineering and Technology, 4 (9).  pp. 1215-1224.  ISSN 20407459