In this paper, we address the problem of the rotation-invariant texture analysis. For this purpose, we first present a modified version of the discrete Radon transform whose performance, including accuracy and processing time, is significantly better than the conventional transform in direction estimation and categorization of textural images. We then utilize this transform with a rotated version of Gabor filters to propose a new scheme for texture classification. Experimental results on a set of images from the Brodatz album indicate that the proposed scheme outperforms previous works.
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Mahmoud R. HEJAZI, Yo-Sung HO, "Texture Analysis Using Modified Discrete Radon Transform" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 2, pp. 517-525, February 2007, doi: 10.1093/ietisy/e90-d.2.517.
Abstract: In this paper, we address the problem of the rotation-invariant texture analysis. For this purpose, we first present a modified version of the discrete Radon transform whose performance, including accuracy and processing time, is significantly better than the conventional transform in direction estimation and categorization of textural images. We then utilize this transform with a rotated version of Gabor filters to propose a new scheme for texture classification. Experimental results on a set of images from the Brodatz album indicate that the proposed scheme outperforms previous works.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.2.517/_p
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@ARTICLE{e90-d_2_517,
author={Mahmoud R. HEJAZI, Yo-Sung HO, },
journal={IEICE TRANSACTIONS on Information},
title={Texture Analysis Using Modified Discrete Radon Transform},
year={2007},
volume={E90-D},
number={2},
pages={517-525},
abstract={In this paper, we address the problem of the rotation-invariant texture analysis. For this purpose, we first present a modified version of the discrete Radon transform whose performance, including accuracy and processing time, is significantly better than the conventional transform in direction estimation and categorization of textural images. We then utilize this transform with a rotated version of Gabor filters to propose a new scheme for texture classification. Experimental results on a set of images from the Brodatz album indicate that the proposed scheme outperforms previous works.},
keywords={},
doi={10.1093/ietisy/e90-d.2.517},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - Texture Analysis Using Modified Discrete Radon Transform
T2 - IEICE TRANSACTIONS on Information
SP - 517
EP - 525
AU - Mahmoud R. HEJAZI
AU - Yo-Sung HO
PY - 2007
DO - 10.1093/ietisy/e90-d.2.517
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2007
AB - In this paper, we address the problem of the rotation-invariant texture analysis. For this purpose, we first present a modified version of the discrete Radon transform whose performance, including accuracy and processing time, is significantly better than the conventional transform in direction estimation and categorization of textural images. We then utilize this transform with a rotated version of Gabor filters to propose a new scheme for texture classification. Experimental results on a set of images from the Brodatz album indicate that the proposed scheme outperforms previous works.
ER -