Abstract
Textures and patterns are the distinguishing characteristics of objects. Texture classification plays fundamental role in computer vision and image processing applications. In this paper, texture classification using PDE (partial differential equation) approach and wavelet transform is presented. The proposed method uses wavelet transform to obtain the directional information of the image. A PDE for anisotropic diffusion is employed to obtain texture component of the image. The feature set is obtained by computing different statistical features from the texture component. The linear discriminant analysis (LDA) enhances separability of texture feature classes. The features obtained from LDA are class representatives. The proposed approach is experimented on three gray scale texture datasets: VisTex, Kylberg, and Oulu. The classification accuracy of the proposed method is evaluated using k-NN classifier. The experimental results show the effectiveness of the proposed method as compared to the other methods in the literature.
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Dr. P. S. Hiremath, 1978 Ph.D. in Applied Mathematics, Karnataka University, Dharwad, Karnataka, India, 1973 Master of Science in Applied Mathematics, Karnataka University, Dharwad, Karnataka, India. He had been in the Faculty of Mathematics and Computer Science of various institutions in India, namely, National Institute of Technology, Surathkal (1977–1979), Coimbatore Institute of Technology, Coimbatore (1979–1980), National Institute of Technology, Tiruchirapalli (1980–1986), Karnataka University, Dharwad (1986–1993) and Gulbarga University, Kalaburagi (1993–2014) and, presently, has been working in KLE Technological University, BVBCET Campus, Hubli, Karnataka, India. His research areas of interest are Image Processing and Pattern Recognition, Computational Fluid Dynamics, Optimization Techniques and Computer Networks. He has published 210 research papers in peer reviewed International Journals and Proceedings of International Conferences.
Rohini A. Bhusnurmath, 2002 Master of Science in Computer Science, Karnataka University, Dharwad, Karnataka, India. She has been presently working as Lecturer at Govt. P.U. College for Girls, Vijayapur, Karnataka, India, and since 2012, pursuing Ph.D. in Computer Science at Gulbarga University, Kalaburagi, Karnataka, India. Her research areas of interest are Image Processing and Pattern Recognition. She has published 11 research papers in peer reviewed International Journals and Proceedings of International Conferences.
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Hiremath, P.S., Bhusnurmath, R.A. Texture classification using partial differential equation approach and wavelet transform. Pattern Recognit. Image Anal. 27, 473–479 (2017). https://doi.org/10.1134/S1054661817030154
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DOI: https://doi.org/10.1134/S1054661817030154