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

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 12 Oct 2011 00:58
Last Modified: 12 Oct 2011 00:58
URI: http://shdl.mmu.edu.my/id/eprint/3214

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