S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis, an overview. In Proceedings of IPA 1997. Home/Search Document Details and Download
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Speed v. Accuracy for High Resolution Colour Texture.. - Monadjemi, Thomas.. (2002) (Correct)
....considerable computational expense. Here, we show that by using a faster approach, similar levels of accuracy can be maintained. Past works in greylevel texture analysis have increasingly found success in the classification of texture features derived from Gabor filters [6, 7, 1, 4] or Wavelets [2, 3, 8] (to name but a few) The discriminatory power of such features have recently been further strengthened through the use of chromatic features based on such colour spaces as RGB, Lab, or HLS [9, 10] All such works have considered images of a size typically of the order of 64# 64, 128#128 or ....
S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis, an overview. In Proc IPA, IEE Pub. No. 443, volume 1, pages 581--585, 1997.
Image Analysis For Material Characterisation - Livens Self-citation (Livens) (Correct)
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S. Livens. Wavelets for texture analysis, world wide web-site. http://www.ruca.ua.ac.be/ ~livens/WTA/, 1997.
Image Analysis For Material Characterisation - Livens (1998) Self-citation (Livens) (Correct)
....between CWT and Gabor transforms lies only in the properties of the basis functions. While important in theory, this difference can become negligible in practice. For example the B spline wavelet shown earlier has a corresponding Gabor function from which it differs only by a small correction term [19]. So in practical applications, the main design choice is to make between discrete transforms, which are fast, or continuous ones which offer more precision and additional fine tuning possibilities. The choice of the basis functions (Gabor, wavelet, or other) will be of secondary importance. We ....
....Entropy based methods for best basis selection. IEEE Trans. Info. Theory, 38:719 746, 1992. 18] W. Sweldens. The lifting scheme: A new philosophy in biorthogonal wavelet constructions. In Wavelet Applications in Signal and Image Processing III, volume 2569, pages 68 79. Proc. SPIE, 1995. [19] J.P. Antoine, P. Carrette, R. Murenzi, and B. Piette. Image analysis with two dimensional continuous wavelet transform. Signal Processing, 31:241 272, 1993. 20] T. Greiner, J. P. Casel, and M. Pandit. Texture analysis with a texture matched M channel wavelet approach. In IEEE Proc. Int. Conf. ....
S. Livens. Wavelets for texture analysis, world wide web-site. http://www.ruca.ua.ac.be/ ~livens/WTA/, 1997.
Wavelet-based Texture Analysis - Scheunders, Livens, Wouwer, Vautrot, .. (1998) (3 citations) Self-citation (Livens) (Correct)
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Lab. #34# S. Livens, #Wavelets for texture analysis," http:##www.ruca.ua.ac.be# ~ VisionLab#WTA.html, 1997.
Wavelet-based Texture Analysis - Scheunders, Livens, Wouwer, Vautrot, .. (1997) (3 citations) Self-citation (Livens) (Correct)
....work, which uses well controlled experiments, important experimental knowledge is coming from the application to real world problems. In a growing number of areas, wavelet based texture methods are being investigated. An online collection of ongoing work is being maintained by Livens [34]. The most widely use is found in the analysis of medical images. The topics are 2D and 3D multiresolution image segmentation. Other application include tissue characterisation [35] An application of texture features for content based searches in large image databases is shown by in [36] and in ....
S. Livens, "Wavelets for texture analysis," http://www.ruca.ua.ac.be/ ~ VisionLab/WTA.html, 1997.
Towards Efficient Texture Classification and Abnormality Detection - Monadjemi (2004) (Correct)
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S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis, an overview. In Proceedings of IPA 1997.
Texture Classification Using Discriminant Wavelet Packet.. - Nasir Rajpoot Department (2002) (Correct)
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S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis. In Proc. IEE Conf. on Image Proc. and Its Applications, July 1997.
Local Discriminant Wavelet Packet Basis - For Texture Classification (2003) (Correct)
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S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis. In Proc. IEE Conf. on Image Proc. and Its Applications, July 1997.
Unknown - Apport De Recherche (Correct)
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S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis, an overview. In Proc. IEE International Conference on Image Processing and its Applications, pages 581585, Dublin, Ireland, 1997.
Frequency Normalised Wavelet Transform For Surface.. - Josso, Burton, Lalor (2002) (Correct)
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S. Livens, P. Scheunders, G. Van de Wouwer, D. Van Dyck, Wavelets for texture analysis, Int. J. Comput. Sci. Information Manage. December (1997).
Adaptive Probabilistic Models of Wavelet Packets for the.. - Brady, Jermyn, Zerubia (2003) (1 citation) (Correct)
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S. Livens, P. Scheunders, G. Van de Wouwer, and D. Van Dyck. Wavelets for texture analysis, an overview. In Proc. ICIP and its Applications, pages 581--585, 1997.
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