A novel image retrieval based on rectangular spatial histograms of visual words

Content-based image retrieval (CBIR) provides a solution to search the images that are similar to a query image. From last few years, the bag-of-visual-words (BoVW) model gained significance and improved the performance of CBIR. In a standard BoVW model, an image is represented as an order-less his...

Full description

Saved in:
Bibliographic Details
Main Authors: Dr. Zahid Mehmood, Dr. Syed Muhammad Anwar, Dr. Muhammad Altaf
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:Kuwait Journal of Science
Subjects:
Online Access:https://journalskuwait.org/kjs/index.php/KJS/article/view/2155
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850138356406550528
author Dr. Zahid Mehmood
Dr. Syed Muhammad Anwar
Dr. Muhammad Altaf
author_facet Dr. Zahid Mehmood
Dr. Syed Muhammad Anwar
Dr. Muhammad Altaf
author_sort Dr. Zahid Mehmood
collection DOAJ
description Content-based image retrieval (CBIR) provides a solution to search the images that are similar to a query image. From last few years, the bag-of-visual-words (BoVW) model gained significance and improved the performance of CBIR. In a standard BoVW model, an image is represented as an order-less histogram of visual words, by ignoring the spatial layout of the image. The spatial layout carries significant information that can enhance the image retrieval accuracy. In this paper, we present a novel method of image representation, which is based on the construction of histograms over two rectangular regions of an image. Division of the image into two rectangular regions at the time of construction of histograms adds the spatial information to the BoVW model. The proposed image representation uses separate visual words for upper and lower rectangular regions of an image. The experimental analysis carriedout on two image datasets validates that the proposed image representation based on the division of an image into histograms of rectangles increases the performance of image retrieval.
format Article
id doaj-art-e234e8b7303045c78eff83357df88abf
institution OA Journals
issn 2307-4108
2307-4116
language English
publishDate 2018-01-01
publisher Elsevier
record_format Article
series Kuwait Journal of Science
spelling doaj-art-e234e8b7303045c78eff83357df88abf2025-08-20T02:30:35ZengElsevierKuwait Journal of Science2307-41082307-41162018-01-01451A novel image retrieval based on rectangular spatial histograms of visual wordsDr. Zahid Mehmood0Dr. Syed Muhammad Anwar1Dr. Muhammad Altaf2University of Engineering and Technology, Taxila, PakistanUniversity of Engineering and Technology, Taxila, PakistanUniversity of Engineering and Technology, Taxila, Pakistan Content-based image retrieval (CBIR) provides a solution to search the images that are similar to a query image. From last few years, the bag-of-visual-words (BoVW) model gained significance and improved the performance of CBIR. In a standard BoVW model, an image is represented as an order-less histogram of visual words, by ignoring the spatial layout of the image. The spatial layout carries significant information that can enhance the image retrieval accuracy. In this paper, we present a novel method of image representation, which is based on the construction of histograms over two rectangular regions of an image. Division of the image into two rectangular regions at the time of construction of histograms adds the spatial information to the BoVW model. The proposed image representation uses separate visual words for upper and lower rectangular regions of an image. The experimental analysis carriedout on two image datasets validates that the proposed image representation based on the division of an image into histograms of rectangles increases the performance of image retrieval. https://journalskuwait.org/kjs/index.php/KJS/article/view/2155Bag-of-visual-wordscontent-based image retrievalrectangular spatial histogramssupport vector machine.
spellingShingle Dr. Zahid Mehmood
Dr. Syed Muhammad Anwar
Dr. Muhammad Altaf
A novel image retrieval based on rectangular spatial histograms of visual words
Kuwait Journal of Science
Bag-of-visual-words
content-based image retrieval
rectangular spatial histograms
support vector machine.
title A novel image retrieval based on rectangular spatial histograms of visual words
title_full A novel image retrieval based on rectangular spatial histograms of visual words
title_fullStr A novel image retrieval based on rectangular spatial histograms of visual words
title_full_unstemmed A novel image retrieval based on rectangular spatial histograms of visual words
title_short A novel image retrieval based on rectangular spatial histograms of visual words
title_sort novel image retrieval based on rectangular spatial histograms of visual words
topic Bag-of-visual-words
content-based image retrieval
rectangular spatial histograms
support vector machine.
url https://journalskuwait.org/kjs/index.php/KJS/article/view/2155
work_keys_str_mv AT drzahidmehmood anovelimageretrievalbasedonrectangularspatialhistogramsofvisualwords
AT drsyedmuhammadanwar anovelimageretrievalbasedonrectangularspatialhistogramsofvisualwords
AT drmuhammadaltaf anovelimageretrievalbasedonrectangularspatialhistogramsofvisualwords
AT drzahidmehmood novelimageretrievalbasedonrectangularspatialhistogramsofvisualwords
AT drsyedmuhammadanwar novelimageretrievalbasedonrectangularspatialhistogramsofvisualwords
AT drmuhammadaltaf novelimageretrievalbasedonrectangularspatialhistogramsofvisualwords