A New Approach to Rotation Invariant Texture Analysis Based on Radon Transform
Summary :
In this paper, we propose a new approach to rotation invariant texture analysis. This method uses the Radon transform with some considerations in direction estimation of textural images. Furthermore, it utilizes the information obtained from the number of peaks in the variance array of the Radon transform as a realty feature. The textural features are then generated after rotation of texture along principle direction. Also, to eliminating the introduced error due to rotation of texture, a simple technique is presented. Experimental results on a set of images from the Brodatz album show a good performance achieved by the proposed method in comparison with some recent texture analysis methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.9 pp.1736-1744
- Publication Date
- 2009/09/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1736
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
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Mehdi CHEHEL AMIRANI, Ali A. BEHESHTI SHIRAZI, "A New Approach to Rotation Invariant Texture Analysis Based on Radon Transform" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 9, pp. 1736-1744, September 2009, doi: 10.1587/transinf.E92.D.1736.
Abstract: In this paper, we propose a new approach to rotation invariant texture analysis. This method uses the Radon transform with some considerations in direction estimation of textural images. Furthermore, it utilizes the information obtained from the number of peaks in the variance array of the Radon transform as a realty feature. The textural features are then generated after rotation of texture along principle direction. Also, to eliminating the introduced error due to rotation of texture, a simple technique is presented. Experimental results on a set of images from the Brodatz album show a good performance achieved by the proposed method in comparison with some recent texture analysis methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1736/_p
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@ARTICLE{e92-d_9_1736,
author={Mehdi CHEHEL AMIRANI, Ali A. BEHESHTI SHIRAZI, },
journal={IEICE TRANSACTIONS on Information},
title={A New Approach to Rotation Invariant Texture Analysis Based on Radon Transform},
year={2009},
volume={E92-D},
number={9},
pages={1736-1744},
abstract={In this paper, we propose a new approach to rotation invariant texture analysis. This method uses the Radon transform with some considerations in direction estimation of textural images. Furthermore, it utilizes the information obtained from the number of peaks in the variance array of the Radon transform as a realty feature. The textural features are then generated after rotation of texture along principle direction. Also, to eliminating the introduced error due to rotation of texture, a simple technique is presented. Experimental results on a set of images from the Brodatz album show a good performance achieved by the proposed method in comparison with some recent texture analysis methods.},
keywords={},
doi={10.1587/transinf.E92.D.1736},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - A New Approach to Rotation Invariant Texture Analysis Based on Radon Transform
T2 - IEICE TRANSACTIONS on Information
SP - 1736
EP - 1744
AU - Mehdi CHEHEL AMIRANI
AU - Ali A. BEHESHTI SHIRAZI
PY - 2009
DO - 10.1587/transinf.E92.D.1736
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2009
AB - In this paper, we propose a new approach to rotation invariant texture analysis. This method uses the Radon transform with some considerations in direction estimation of textural images. Furthermore, it utilizes the information obtained from the number of peaks in the variance array of the Radon transform as a realty feature. The textural features are then generated after rotation of texture along principle direction. Also, to eliminating the introduced error due to rotation of texture, a simple technique is presented. Experimental results on a set of images from the Brodatz album show a good performance achieved by the proposed method in comparison with some recent texture analysis methods.
ER -
English
