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A Study of Efficient Pattern Classification on Texture Feature Representation Coordinate System  

Woo, Kyeong-Deok (세종대학교 대학원 디지털콘텐츠학과)
Kim, Sung-Gook (세종대학교 대학원 디지털콘텐츠학과)
Baik, Sung-Wook (세종대학교 컴퓨터 공학부 디지털콘텐츠학과)
Publication Information
Journal of Korea Multimedia Society / v.13, no.2, 2010 , pp. 237-248 More about this Journal
Abstract
When scenes in the real world are perceived for the purpose of computer/robot vision fields, there are great deals of texture based patterns in them. This paper introduces a texture feature representation on a coordinate system in which many different patterns can be represented with a mathematical model (Gabor function). The representation of texture features of each pattern on the coordinate system results in the high performance/competence of texture pattern classification. A decision tree algorithm is used to classify pattern data represented on the proposed coordinate system. The experimental results for the texture pattern classification show that the proposed method is better than previous researches.
Keywords
Texture Pattern; Gabor Filter; Texture Classification; Texture Representation;
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1 B.S. Manjunatha and W.Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.18, No.8, pp. 837-841, 1996.   DOI   ScienceOn
2 S. Tan, J.L. Dale and A. Johnston, "Performance of three recursive algorithms for fast space-variant Gaussian filtering," Real-Time lmaging, Vol.9, No.3, pp. 215-228, 2003.   DOI   ScienceOn
3 A.K. Jain, N.R. Ratha, and S. Lakhsmanan, "Object detection using Gabor filters," Pattern Recognition, Vol.30, No.2, pp. 295-309, 1997.   DOI   ScienceOn
4 A.K. Jain and F. Farrokhnia, "Unsupervised texture segmentation using Gabor filters," Pattern Recognition, Vol.24, No.12, pp. 1167-1186, 1991.   DOI   ScienceOn
5 M.S. Lewis-Beck, Data Analysis: an Introduction, Sage Publications Inc, 1995.
6 P. Hajek, T. Feglar, J. Rauch and D. Coufal. "The GUHA method, data preprocessing and mining," Database Support for Data Mining Applications, Vol.2682, pp. 135-153, 2004.   DOI
7 K. Deguchi, T. Izumitani, and H. Hontani, "Detection and enhancement of line structures in an image by anisotropic diffusion," Pattern Recognition Letters, Vol.23, No.12, pp. 1399-1405, 2002.   DOI   ScienceOn
8 J. Cook, V. Chandran, S. Sridharan and C. Fookes, "Gabor Filter Bank Representation for 3D Face Recognition," Digital Image Computing: Techniques and Applications, pp. 4, 2005.
9 M. Foracchia, E. Grisan and A. Ruggeri, "Luminosity and contrast normalization in retinal images," Medical Image Analysis, Vol.9, No.3, pp. 179-190, 2005.   DOI   ScienceOn
10 C.Y. Wee, R. Paramesran and R. Mukundan, "Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments," International Conference on Image Analysis and Processing, pp. 807-812, 2007.
11 S.E. Grigorescu, N. Petkov and P. Kruizinga, "Comparison of texture features based on Gabor filters," IEEE Transaction on Image Processing, Vol.11, No.10, pp. 1160-1167, 2002.   DOI   ScienceOn
12 D. Puig and M.A. Garcia, "Automatic texture feature selection for image pixel classification," Pattern Recognition, Vol.39, No.11, pp. 1996-2009, 2006   DOI   ScienceOn
13 D.A. Clausi and H. Deng, "Design-based texture feature fusion using Gabor filters and co-occurrence probabilities," IEEE transactions on image processing, Vol.14, No.7, pp. 925-936, 2005.   DOI
14 T. Andrysiak and M. Choras, "Image retrieval based on hierarchical Gabor filters," International Journal Applied Computer Science, Vol.15, No.4, pp. 471-480, 2005.
15 M.R. Turner, "Texture discrimination by Gabor functions," Biological Cybernetics archive. Vol.55, pp. 71-82, 1986.
16 F. Bianconi and A. Fernandez, "Evaluation of the effects of Gabor filter parameters on texture classification," Pattern Recognition, Vol.40 No.12, pp. 3325-3335, 2007.   DOI   ScienceOn
17 S.C. Kim and T.J. Kang, "Texture classification and segmentation using wavelet packet frame and Gaussian mixture model," Pattern Recognition, Vol.40, No.4, pp. 1207-1221, 2007.   DOI   ScienceOn
18 M. Macenko, M. Celenk and M. Limin, "Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering," International Conference on Pattern Recognition, Vol.4, pp. 679-682, 2006.
19 S.J. Hickinbotham, E.R. Hancock, and J. Austin, "S-Gabor channel design for segmentation of modulated textures," Sixth International Conference on Image Processing and Its Applications, Vol.2, pp. 591-595, 1997.
20 C.M. Senet, J. Seemann, and F. Ziemer, "Dispersive surface classification: local analysis of optical image sequences of the water surface to determine hydrographic parameter maps," OCEANS 2000 MTS/IEEE Conference and Exhibition, Vol.3, pp. 1769-1774, 2000.
21 F.S. Cohen, Z. Fan and S. Attali, "Automated Inspection of Textile Fabrics Using Textural Models," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.13, No.8, pp. 803-808, 1991.   DOI   ScienceOn
22 S.J. Hickinbotham, E.R. Hancock and J. Austin, "Segmenting modulated line textures with S-Gabor filters," International Conference on Image Processing, Vol.3, pp. 149-152, 1996.
23 Z. He, X. You, and Y. Yuan, "Texture image retrieval based on non-tensor product wavelet filter banks," Signal Processing, Vol.89, No.8, pp. 1501-1510, 2009.   DOI   ScienceOn
24 K. Shiranita, T. Miyajima and R. Takiyama, "Determination of meat quality by texture analysis," Pattern Recognition Letters, Vol. 19, No.4, pp. 1319-1324, 1998.   DOI   ScienceOn
25 O. Makeyev, E. Sazonov, T. Baidyk, and A. Martm, "Limited receptive area neural classifier for texture recognition of mechanically treated metal surfaces," Neurocomputing, Vol.71, pp. 1413-1421, 2008.   DOI   ScienceOn
26 O.C.R. Filho, P.M. Treitz, E.D. Soulis, P.J. Howarth, and N. Kouwne, "Texture Processing of Synthetic Aperture Radar Data Using Second-Order Spatial Statics," Computer & Geosciences, Vol.22, No.1, pp. 27-34, 1996.   DOI
27 G. Rabatel, C. Delenne and M. Deshayes, "A non-supervised approach using Gabor filters," Computers and Electronics in Agriculture, Vol.62, No.2, pp. 159-168, 2008.   DOI   ScienceOn
28 G. Palubinskas, "Adaptive filtering in magnetic resonance images," Proceedings of the 13th International Conference on Pattern Recognition, Vol.3, pp. 523-257, 1996.
29 J.V. Soares, C.D. Renno, and A.R. Formaggio, "An Investigation of the Selection of Texture Features for Crop Discrimination Using SAR Imagey," Remote sensing of environment, Vol.59, No.2 pp. 234-247, 1997.   DOI   ScienceOn
30 B.S. Manjunath and W.Y. Ma, "Browsing large satellite and aerial photographs," International Conference on Image Processing, Vol.2, pp. 765-768, 1996.