Radial Inverse Force Histograms: A new algorithm for content-based image retrieval

Radial Inverse Force Histograms: A new algorithm for content-based image retrieval

This paper proposes a novel method, called "Radial Inverse Force Histograms (RIFH)". The principle of this method uses the gravitational forces in Newton's theory to represent the texture of image in histogram pattern. In a far and away distance the gravitational forces were reduced....

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Main Authors: Nattapong Songneam, Pisit Phokharatkul, Chom Kimpan
Other Authors: Rangsit University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Computer Science
Engineering
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/28965
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Institution: Mahidol University
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spelling th-mahidol.289652018-09-24T15:59:09Z Radial Inverse Force Histograms: A new algorithm for content-based image retrieval Nattapong Songneam Pisit Phokharatkul Chom Kimpan Rangsit University Mahidol University Computer Science Engineering This paper proposes a novel method, called "Radial Inverse Force Histograms (RIFH)". The principle of this method uses the gravitational forces in Newton's theory to represent the texture of image in histogram pattern. In a far and away distance the gravitational forces were reduced. In spite of this region has influence to retrieve the image. In order to overcome this problem, this research uses RIFH. The method can be used for retrieval invariant images (translation, rotation, and scaling). In experimental with the grey level image, this research studies and compare with the distance histograms method and angular histograms method. It found that, the RIFH has a better performance than other approaches. © 2010 IEEE. 2018-09-24T08:56:19Z 2018-09-24T08:56:19Z 2010-12-16 Conference Paper 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010. Vol.6, (2010), 29-32 10.1109/CMCE.2010.5609929 2-s2.0-78650009808 https://repository.li.mahidol.ac.th/handle/123456789/28965 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650009808&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Nattapong Songneam
Pisit Phokharatkul
Chom Kimpan
Radial Inverse Force Histograms: A new algorithm for content-based image retrieval
description This paper proposes a novel method, called "Radial Inverse Force Histograms (RIFH)". The principle of this method uses the gravitational forces in Newton's theory to represent the texture of image in histogram pattern. In a far and away distance the gravitational forces were reduced. In spite of this region has influence to retrieve the image. In order to overcome this problem, this research uses RIFH. The method can be used for retrieval invariant images (translation, rotation, and scaling). In experimental with the grey level image, this research studies and compare with the distance histograms method and angular histograms method. It found that, the RIFH has a better performance than other approaches. © 2010 IEEE.
author2 Rangsit University
author_facet Rangsit University
Nattapong Songneam
Pisit Phokharatkul
Chom Kimpan
format Conference or Workshop Item
author Nattapong Songneam
Pisit Phokharatkul
Chom Kimpan
author_sort Nattapong Songneam
title Radial Inverse Force Histograms: A new algorithm for content-based image retrieval
title_short Radial Inverse Force Histograms: A new algorithm for content-based image retrieval
title_full Radial Inverse Force Histograms: A new algorithm for content-based image retrieval
title_fullStr Radial Inverse Force Histograms: A new algorithm for content-based image retrieval
title_full_unstemmed Radial Inverse Force Histograms: A new algorithm for content-based image retrieval
title_sort radial inverse force histograms: a new algorithm for content-based image retrieval
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/28965
_version_ 1763492899403595776

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