Image storage and retrieval using color quantization method

Color is the most dominant and distinguishing visual feature for image. We propose a compact color descriptor here, which is based on the observation that a small number of colors are sufficient to characterize the color information in an image region. The image is segmented by our proposed segmenta...

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Main Authors: Mandal, Koushik Kanti, Islam, Md. Rafiqul, Md. Sap, Mohd. Noor, Khatun, Fahmida, Reza, Md. Parvez
Format: Article
Language:English
Published: Penerbit UTM Press 2005
Subjects:
Online Access:http://eprints.utm.my/8526/1/MohdNoorMdSap2005_ImageStorageAndRetrievalUsingColour.PDF
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author Mandal, Koushik Kanti
Islam, Md. Rafiqul
Md. Sap, Mohd. Noor
Khatun, Fahmida
Reza, Md. Parvez
author_facet Mandal, Koushik Kanti
Islam, Md. Rafiqul
Md. Sap, Mohd. Noor
Khatun, Fahmida
Reza, Md. Parvez
author_sort Mandal, Koushik Kanti
collection ePrints
description Color is the most dominant and distinguishing visual feature for image. We propose a compact color descriptor here, which is based on the observation that a small number of colors are sufficient to characterize the color information in an image region. The image is segmented by our proposed segmentation algorithm, which uses the compact color descriptor .The result of the experiment shows that the developed segmentation algorithm produces better performances as compared with the existing segmentation algorithm. After segmentation the color features are extracted from the segmented image. Finally the color features are stored in the database using a special type of indexing method for storing and retrieval of image features.
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spelling utm.eprints-85262017-11-01T04:17:34Z http://eprints.utm.my/8526/ Image storage and retrieval using color quantization method Mandal, Koushik Kanti Islam, Md. Rafiqul Md. Sap, Mohd. Noor Khatun, Fahmida Reza, Md. Parvez QA75 Electronic computers. Computer science NE Print media Color is the most dominant and distinguishing visual feature for image. We propose a compact color descriptor here, which is based on the observation that a small number of colors are sufficient to characterize the color information in an image region. The image is segmented by our proposed segmentation algorithm, which uses the compact color descriptor .The result of the experiment shows that the developed segmentation algorithm produces better performances as compared with the existing segmentation algorithm. After segmentation the color features are extracted from the segmented image. Finally the color features are stored in the database using a special type of indexing method for storing and retrieval of image features. Penerbit UTM Press 2005-06 Article PeerReviewed application/pdf en http://eprints.utm.my/8526/1/MohdNoorMdSap2005_ImageStorageAndRetrievalUsingColour.PDF Mandal, Koushik Kanti and Islam, Md. Rafiqul and Md. Sap, Mohd. Noor and Khatun, Fahmida and Reza, Md. Parvez (2005) Image storage and retrieval using color quantization method. Jurnal Teknologi Maklumat, 17 (1). pp. 1-17. ISSN 0128-3790
spellingShingle QA75 Electronic computers. Computer science
NE Print media
Mandal, Koushik Kanti
Islam, Md. Rafiqul
Md. Sap, Mohd. Noor
Khatun, Fahmida
Reza, Md. Parvez
Image storage and retrieval using color quantization method
title Image storage and retrieval using color quantization method
title_full Image storage and retrieval using color quantization method
title_fullStr Image storage and retrieval using color quantization method
title_full_unstemmed Image storage and retrieval using color quantization method
title_short Image storage and retrieval using color quantization method
title_sort image storage and retrieval using color quantization method
topic QA75 Electronic computers. Computer science
NE Print media
url http://eprints.utm.my/8526/1/MohdNoorMdSap2005_ImageStorageAndRetrievalUsingColour.PDF
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