The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers

Textures show multi-scale properties and hence multiresolution techniques are considered appropriate for texture classification. Recently, the authors proposed a multiresolution texture classification system based on scale space theory and combined classifiers. However, the use of multiresolution te...

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Main Authors: Gangeh, M. J., Romeny, B. M. ter Haar, Eswaran, C.
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3214/
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author Gangeh, M. J.
Romeny, B. M. ter Haar
Eswaran, C.
author_facet Gangeh, M. J.
Romeny, B. M. ter Haar
Eswaran, C.
author_sort Gangeh, M. J.
building MMU Institutional Repository
collection Online Access
description Textures show multi-scale properties and hence multiresolution techniques are considered appropriate for texture classification. Recently, the authors proposed a multiresolution texture classification system based on scale space theory and combined classifiers. However, the use of multiresolution techniques increases the computational load and memory space required. Sub-sampling can help to reduce these side effects of multiresolution techniques. However, it may degrade the overall performance of the classification system. In this paper the effect of sub-sampling is investigated in scale space texture classification using combined classifiers. It is shown that sub-sampling can help to reduce both computational load and memory space required without compromising the performance of the system.
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format Conference or Workshop Item
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spelling mmu-32142011-10-12T00:58:24Z http://shdl.mmu.edu.my/3214/ The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers Gangeh, M. J. Romeny, B. M. ter Haar Eswaran, C. T Technology (General) QA75.5-76.95 Electronic computers. Computer science Textures show multi-scale properties and hence multiresolution techniques are considered appropriate for texture classification. Recently, the authors proposed a multiresolution texture classification system based on scale space theory and combined classifiers. However, the use of multiresolution techniques increases the computational load and memory space required. Sub-sampling can help to reduce these side effects of multiresolution techniques. However, it may degrade the overall performance of the classification system. In this paper the effect of sub-sampling is investigated in scale space texture classification using combined classifiers. It is shown that sub-sampling can help to reduce both computational load and memory space required without compromising the performance of the system. 2007-11 Conference or Workshop Item NonPeerReviewed Gangeh, M. J. and Romeny, B. M. ter Haar and Eswaran, C. (2007) The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers. In: International Conference on Intelligent and Advanced Systems, 25-28 NOV 2007, Kuala Lumpur, MALAYSIA. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=Y2M4cogb143I6iogn9p&page=123&doc=1230
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Gangeh, M. J.
Romeny, B. M. ter Haar
Eswaran, C.
The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers
title The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers
title_full The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers
title_fullStr The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers
title_full_unstemmed The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers
title_short The Effect of Sub-Sampling in Scale Space Texture Classification Using Combined Classifiers
title_sort effect of sub-sampling in scale space texture classification using combined classifiers
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3214/
http://shdl.mmu.edu.my/3214/