Abstract:
This paper presents a novel texture descriptor based on the wavelet transform. First, we will consider vertical and horizontal coefficients at the same position as the components of a bivariate random vector. The magnitud and angle of these vectors are computed and its histograms are analyzed. This empirical magnitud histogram is modelled by using a gamma distribution (pdf). As a result, the feature extraction step consists of estimating the gamma parameters using the maxima likelihood estimator and computing the circular histograms of angles. The similarity measurement step is done by means of the well-known Kullback-Leibler divergence. Finally, retrieval experiments are done using the Brodatz texture collection obtaining a good performance of this new texture descriptor. We compare two wavelet transforms, with and without downsampling, and show the advantage of the second one, which is translation invariant, for the construction of our texture descriptor. © Springer-Verlag Berlin Heidelberg 2007.
Registro:
Documento: |
Artículo
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Título: | A new wavelet-based texture descriptor for image retrieval |
Autor: | De Ves, E.; Ruedin, A.; Acevedo, D.; Benavent, X.; Seijas, L. |
Ciudad: | Vienna |
Filiación: | Computer Science Department, University of Valencia Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires Robotics Institute, University of Valencia
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Palabras clave: | Image retrieval; Texture descriptor; Wavelet transform; Kullback-Leibler divergence; Texture descriptor; Feature extraction; Image analysis; Image retrieval; Vectors; Wavelet transforms |
Año: | 2007
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Volumen: | 4673 LNCS
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Página de inicio: | 895
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Página de fin: | 902
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Título revista: | 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007
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Título revista abreviado: | Lect. Notes Comput. Sci.
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ISSN: | 03029743
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v4673LNCS_n_p895_DeVes |
Referencias:
- Ayala, G., Domingo, J., Spatial size distributions: Applications to shape and texture analysis (2001) IEEE Trans Image Processing, 23, pp. 1430-1442
- Azencott, R., Wang, J.P., Younes, L., Texture classification using windowed fourier filters (1997) IEEE Trans Pattern Analysis and Machine Intelligence, 19 (3), pp. 148-153
- Buccigrossi, R., Simoncelli, E., Image compression via joint statistical characterization in the wavelet domain (1999) IEEE Trans Signal Proc, 8, pp. 1688-1701
- Daubechies, I., (1992) Ten lectures on wavelets, , Society for Industrial and Applied Mathematics
- Del Bimbo, A., (1999) Visual Information Retrieval, , Morgan Kaufmann, San Francisco
- Do, M.N., Vetterli, M., Wavelet-based texture retrieval using generalized gaussian density and kullback-leibler distance (2002) IEEE Trans Image Processing, 11, p. 2
- Epifanio, I., Ayala, G., A random set view of texture classification (2002) IEEE Transactions on Image Processing, 11, pp. 859-867
- Heeger, D., Berger, J.R., Pyramid-based txture analysis/synthesis (1995) Proc. ACM SIGGRAPH
- Mallat, S., (1999) A Wavelet Tour of Signal Processing, , Academic Press, London
- Pentland, A., Picard, R.W., Sclaroff, S., Photobook: Content-based manipulation of image databases (1996) International Journal of Computer Vision, 18 (3), pp. 233-254
- Smeulders, A.W.M., Santini, S., Gupta, A., Jain, R., Content-based image retrieval at the end of the early years (2000) IEEE transactions on Pattern Analysis and Machine Intelligence, 22 (12), pp. 1349-1379
- Husoy, J., Randen, T., filtering for texture classifciation: A comparative study (1999) IEEE Trans Pattern Analysis and Machine Intelligence, 20, pp. 115-122
- Tzagkarakis, G., Beferull-Lozano, B., Tsakalides, P., Rotation-invariant texture retrieval with gaussianized steerable pyramids (2006) IEEE Trans Image Processing, 15
- Wouwer, G.V., Scheunders, P., Dyck, D.V., Statistical texture characterization from discrete wavelet representation (1999) IEEE Trans Image Processing, 8, pp. 592-598
Citas:
---------- APA ----------
De Ves, E., Ruedin, A., Acevedo, D., Benavent, X. & Seijas, L.
(2007)
. A new wavelet-based texture descriptor for image retrieval. 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007, 4673 LNCS, 895-902.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v4673LNCS_n_p895_DeVes [ ]
---------- CHICAGO ----------
De Ves, E., Ruedin, A., Acevedo, D., Benavent, X., Seijas, L.
"A new wavelet-based texture descriptor for image retrieval"
. 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007 4673 LNCS
(2007) : 895-902.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v4673LNCS_n_p895_DeVes [ ]
---------- MLA ----------
De Ves, E., Ruedin, A., Acevedo, D., Benavent, X., Seijas, L.
"A new wavelet-based texture descriptor for image retrieval"
. 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007, vol. 4673 LNCS, 2007, pp. 895-902.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v4673LNCS_n_p895_DeVes [ ]
---------- VANCOUVER ----------
De Ves, E., Ruedin, A., Acevedo, D., Benavent, X., Seijas, L. A new wavelet-based texture descriptor for image retrieval. Lect. Notes Comput. Sci. 2007;4673 LNCS:895-902.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v4673LNCS_n_p895_DeVes [ ]