Abstract
This paper builds upon a previous texture feature selection and classification methodology by extending it with two state-of-the-art fami lies of texture feature extraction methods, namely Manjunath & Ma’s Gabor wavelet filters and Local Binary Pattern operators (LBP), which are integrated with more classical families of texture filters, such as co-occur rence matrices, Laws filters and wavelet transforms. Results with Brodatz compositions and outdoor images are evaluated and discussed, being the basis for a comparative study about the discrimination capabilities of those different families of texture methods, which have been traditionally applied on their own.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Manjunath, B.S., Ma, W.Y.: Texture Features for Browsing and Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 18(8), 837–842 (1996)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971–987 (2002)
Garcia, M.A., Puig, D.: Supervised Texture Classification by Integration of Multiple Texture Methods and Evaluation Windows. Image Vis. Comput. 25(7), 1091–1106 (2007)
Puig, D., Garcia, M.A.: Automatic Texture Feature Selection for Image Pixel Classification. Pattern Recogn. 39(11), 1996–2009 (2006)
Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover & Gree Publishing Company, Mineola, NY (1999)
Randen, T., Husoy, J.H.: Filtering for Texture Classification: A Comparative Study. IEEE Trans. Pattern Anal. Mach. Intell. 21(4), 291–310 (1999)
Chen, L., Lu, G., Zhang, D.: Effects of Different Gabor Filter Parameters on Image Retrieval by Texture. In: Proc. of Int. Conf. MMM 2004, pp. 273–278 (2004)
Manjunath, B.S., et al.: Color and Texture Descriptors. IEEE Trans. Circ. Syst. Video Tech. 11, 703–715 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Melendez, J., Puig, D., Garcia, M.A. (2007). Comparative Evaluation of Classical Methods, Optimized Gabor Filters and LBP for Texture Feature Selection and Classification. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_113
Download citation
DOI: https://doi.org/10.1007/978-3-540-74272-2_113
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74271-5
Online ISBN: 978-3-540-74272-2
eBook Packages: Computer ScienceComputer Science (R0)