Colour Matching for Imaging Retrieval

Color is an important attribute for image matching and retrieval. We present two new color matching methods, the Reference Color Table Method and a Distance Method, for image retrieval. Both these methods and an existing method Histogram Intersection were implemented and tested for a database size o...

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Main Authors: MEHTRE, Babu M., KANKANHALLI, Mohan S., NARASIMHALU, Arcot Desai, MAN, Guo Chang
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Language:English
Published: Institutional Knowledge at Singapore Management University 1995
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Online Access:https://ink.library.smu.edu.sg/sis_research/33
http://dx.doi.org/10.1016/0167-8655(94)00096-l
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-10322015-06-30T03:39:06Z Colour Matching for Imaging Retrieval MEHTRE, Babu M. KANKANHALLI, Mohan S. NARASIMHALU, Arcot Desai MAN, Guo Chang Color is an important attribute for image matching and retrieval. We present two new color matching methods, the Reference Color Table Method and a Distance Method, for image retrieval. Both these methods and an existing method Histogram Intersection were implemented and tested for a database size of 170 color images. To compare the efficacy of each method, a figure of merit, called Efficiency of Retrieval, is defined. The results show that both the new methods perform better than the existing method, and that the Reference Color Table Method gives the best results. 1995-03-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/33 info:doi/10.1016/0167-8655(94)00096-l http://dx.doi.org/10.1016/0167-8655(94)00096-l Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Color Matching Distance Measure Retrieval Computer Sciences Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Color
Matching
Distance
Measure
Retrieval
Computer Sciences
Numerical Analysis and Scientific Computing
spellingShingle Color
Matching
Distance
Measure
Retrieval
Computer Sciences
Numerical Analysis and Scientific Computing
MEHTRE, Babu M.
KANKANHALLI, Mohan S.
NARASIMHALU, Arcot Desai
MAN, Guo Chang
Colour Matching for Imaging Retrieval
description Color is an important attribute for image matching and retrieval. We present two new color matching methods, the Reference Color Table Method and a Distance Method, for image retrieval. Both these methods and an existing method Histogram Intersection were implemented and tested for a database size of 170 color images. To compare the efficacy of each method, a figure of merit, called Efficiency of Retrieval, is defined. The results show that both the new methods perform better than the existing method, and that the Reference Color Table Method gives the best results.
format text
author MEHTRE, Babu M.
KANKANHALLI, Mohan S.
NARASIMHALU, Arcot Desai
MAN, Guo Chang
author_facet MEHTRE, Babu M.
KANKANHALLI, Mohan S.
NARASIMHALU, Arcot Desai
MAN, Guo Chang
author_sort MEHTRE, Babu M.
title Colour Matching for Imaging Retrieval
title_short Colour Matching for Imaging Retrieval
title_full Colour Matching for Imaging Retrieval
title_fullStr Colour Matching for Imaging Retrieval
title_full_unstemmed Colour Matching for Imaging Retrieval
title_sort colour matching for imaging retrieval
publisher Institutional Knowledge at Singapore Management University
publishDate 1995
url https://ink.library.smu.edu.sg/sis_research/33
http://dx.doi.org/10.1016/0167-8655(94)00096-l
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