Content based image retrieval through object features

Content based image retrieval through object features

Digital images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. As the demand for digital images increases, the need to store and retrieve images in an intuitive and efficient manner arises. These approaches can...

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Bibliographic Details
Main Author: Ramanujam Meenakshi
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2018-04-01
Series:Journal of Computer Science and Technology
Online Access:https://journal.info.unlp.edu.ar/JCST/article/view/575
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spelling doaj-ada1053129014c32a3a92fc02470ddda2021-05-05T13:43:32ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382018-04-011402109110297Content based image retrieval through object featuresRamanujam Meenakshi0Department of Computer Science and Engineering, JCDCOE, GURU JAMBHESWAR UNIVERSITY, Hisar, Haryana, IndiaDigital images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. As the demand for digital images increases, the need to store and retrieve images in an intuitive and efficient manner arises. These approaches can roughly be classified into three categories such as text-based, content-based and semantic based. ARC-BC or convexity measures. The aim of this thesis to show that the rate of retrieval can be improved by combining various features than using a single characteristic. The proposed method combines colour, texture and geometric features to form a multidimension feature vector. (Párrafo extraído del texto a modo de resumen)https://journal.info.unlp.edu.ar/JCST/article/view/575
collection DOAJ
language English
format Article
sources DOAJ
author Ramanujam Meenakshi
spellingShingle Ramanujam Meenakshi
Content based image retrieval through object features
Journal of Computer Science and Technology
author_facet Ramanujam Meenakshi
author_sort Ramanujam Meenakshi
title Content based image retrieval through object features
title_short Content based image retrieval through object features
title_full Content based image retrieval through object features
title_fullStr Content based image retrieval through object features
title_full_unstemmed Content based image retrieval through object features
title_sort content based image retrieval through object features
publisher Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
series Journal of Computer Science and Technology
issn 1666-6046
1666-6038
publishDate 2018-04-01
description Digital images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. As the demand for digital images increases, the need to store and retrieve images in an intuitive and efficient manner arises. These approaches can roughly be classified into three categories such as text-based, content-based and semantic based. ARC-BC or convexity measures. The aim of this thesis to show that the rate of retrieval can be improved by combining various features than using a single characteristic. The proposed method combines colour, texture and geometric features to form a multidimension feature vector. (Párrafo extraído del texto a modo de resumen)
url https://journal.info.unlp.edu.ar/JCST/article/view/575
work_keys_str_mv AT ramanujammeenakshi contentbasedimageretrievalthroughobjectfeatures
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