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An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi

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Main Author: Tafreshi, Amir Esmaeil Sarabadani
Format: Thesis
Published: 2013
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/41587/
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id my.utm.41587
record_format eprints
spelling my.utm.415872014-10-08T02:21:01Z http://eprints.utm.my/id/eprint/41587/ An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi Tafreshi, Amir Esmaeil Sarabadani QA Mathematics 2013 Thesis NonPeerReviewed Tafreshi, Amir Esmaeil Sarabadani (2013) An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Tafreshi, Amir Esmaeil Sarabadani
An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
format Thesis
author Tafreshi, Amir Esmaeil Sarabadani
author_facet Tafreshi, Amir Esmaeil Sarabadani
author_sort Tafreshi, Amir Esmaeil Sarabadani
title An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
title_short An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
title_full An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
title_fullStr An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
title_full_unstemmed An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
title_sort efficient and robust cluster-based algorithm for image duplicated region detection using k-means clusteringtafreshi
publishDate 2013
url http://eprints.utm.my/id/eprint/41587/
_version_ 1643650660556603392
score 13.160551

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