Using Wavelet Extraction for Haptic Texture Classification

While visual texture classification is a widely-researched topic in image analysis, little is known on its counterpart i.e. the haptic (touch) texture. This paper examines the visual texture classification in order to investigate how well it could be used for haptic texture search engine. In clas...

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Main Authors: Adi, Waskito, Sulaiman, Suziah
Other Authors: Badioze Zaman, Halimah
Format: Book Section
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.2002 /
Published: Springer-Verlag 2009
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://eprints.utp.edu.my/2002/1/IVIC_PID27_sentToPGOffice_latest.pdf
http://eprints.utp.edu.my/2002/
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spelling utp-eprints.20022017-03-20T08:11:55Z Using Wavelet Extraction for Haptic Texture Classification Adi, Waskito Sulaiman, Suziah QA75 Electronic computers. Computer science While visual texture classification is a widely-researched topic in image analysis, little is known on its counterpart i.e. the haptic (touch) texture. This paper examines the visual texture classification in order to investigate how well it could be used for haptic texture search engine. In classifying the visual textures, feature extraction for a given image involving wavelet decomposition is used to obtain the transformation coefficients. Feature vectors are formed using energy signature from each wavelet sub-band coefficient. We conducted an experiment to investigate the extent in which wavelet decomposition could be used in haptic texture search engine. The experimental result, based on different testing data, shows that feature extraction using wavelet decomposition achieve accuracy rate more than 96%. This demonstrates that wavelet decomposition and energy signature is effective in extracting information from a visual texture. Based on this finding, we discuss on the suitability of wavelet decomposition for haptic texture searching, in terms of extracting information from image and haptic information. Springer-Verlag Badioze Zaman, Halimah Robinson, Peter Petrou, Maria Olivier, Patrick Schroder, Heiko Shih, Timothy 2009-11 Book Section PeerReviewed application/pdf http://eprints.utp.edu.my/2002/1/IVIC_PID27_sentToPGOffice_latest.pdf Adi, Waskito and Sulaiman, Suziah (2009) Using Wavelet Extraction for Haptic Texture Classification. In: Lecture Notes in Computer Science. Springer-Verlag, pp. 314-325. http://eprints.utp.edu.my/2002/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Adi, Waskito
Sulaiman, Suziah
Using Wavelet Extraction for Haptic Texture Classification
description While visual texture classification is a widely-researched topic in image analysis, little is known on its counterpart i.e. the haptic (touch) texture. This paper examines the visual texture classification in order to investigate how well it could be used for haptic texture search engine. In classifying the visual textures, feature extraction for a given image involving wavelet decomposition is used to obtain the transformation coefficients. Feature vectors are formed using energy signature from each wavelet sub-band coefficient. We conducted an experiment to investigate the extent in which wavelet decomposition could be used in haptic texture search engine. The experimental result, based on different testing data, shows that feature extraction using wavelet decomposition achieve accuracy rate more than 96%. This demonstrates that wavelet decomposition and energy signature is effective in extracting information from a visual texture. Based on this finding, we discuss on the suitability of wavelet decomposition for haptic texture searching, in terms of extracting information from image and haptic information.
author2 Badioze Zaman, Halimah
format Book Section
author Adi, Waskito
Sulaiman, Suziah
author_sort Adi, Waskito
title Using Wavelet Extraction for Haptic Texture Classification
title_short Using Wavelet Extraction for Haptic Texture Classification
title_full Using Wavelet Extraction for Haptic Texture Classification
title_fullStr Using Wavelet Extraction for Haptic Texture Classification
title_full_unstemmed Using Wavelet Extraction for Haptic Texture Classification
title_sort using wavelet extraction for haptic texture classification
publisher Springer-Verlag
publishDate 2009
url http://eprints.utp.edu.my/2002/1/IVIC_PID27_sentToPGOffice_latest.pdf
http://eprints.utp.edu.my/2002/
_version_ 1741196056027201536
score 11.62408

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