Classification of Planar Curve Using the Zero-Crossings Representation of Wavelet Transform
Summary :
A method of planar curve classification, which is invariant to rotation, scaling and translation using the zerocrossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E80-A No.4 pp.775-777
- Publication Date
- 1997/04/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Digital Signal Processing
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Dodi SUDIANA, Nozomu HAMADA, "Classification of Planar Curve Using the Zero-Crossings Representation of Wavelet Transform" in IEICE TRANSACTIONS on Fundamentals,
vol. E80-A, no. 4, pp. 775-777, April 1997, doi: .
Abstract: A method of planar curve classification, which is invariant to rotation, scaling and translation using the zerocrossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e80-a_4_775/_p
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@ARTICLE{e80-a_4_775,
author={Dodi SUDIANA, Nozomu HAMADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Classification of Planar Curve Using the Zero-Crossings Representation of Wavelet Transform},
year={1997},
volume={E80-A},
number={4},
pages={775-777},
abstract={A method of planar curve classification, which is invariant to rotation, scaling and translation using the zerocrossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Classification of Planar Curve Using the Zero-Crossings Representation of Wavelet Transform
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 775
EP - 777
AU - Dodi SUDIANA
AU - Nozomu HAMADA
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 1997
AB - A method of planar curve classification, which is invariant to rotation, scaling and translation using the zerocrossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.
ER -
English
