Abstract
We perform in this paper a comparative study of ability of the proposed novel image retrieval algorithms to provide automated object classification invariant of rotation, translation and scaling. We analyze simple cosine similarity coefficient methods and the SVD-free Latent Semantic method with an alternative sparse representation of color images. Considering applied cosine similarity coefficient methods, the two following approaches were tested and compared: i) the processing of the whole image and ii) the processing of the image that contains edges extracted by the application of the Sobel edge detector. Numerical experiments on a real database sets indicate feasibility of the presented approach as automated object classification tool without special image pre-processing.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Engel, K., Hadwiger, M., Kniss, J., Rezk-Salama, C.: Real-time volume graphics, pp. 112–114. AK Peters Ltd. (2006)
Jähne, B., Scharr, H., Körkel, S.: Principles of filter design. In: Handbook of Computer Vision and Applications. Academic Press (1999)
Farid, H., Simoncelli, E.P.: Differentiation of discrete multi-dimensional signals. IEEE Transactions on Image Processing 13(4), 496–508 (2004)
Kroon, D.: Numerical Optimization of Kernel Based Image Derivatives, Short Paper University Twente (2009)
Scharr, H.: Optimal Second Order Derivative Filter Families For Transparent Motion Estimation. In: 15th European Signal Processing Conference, EUSIPCO 2007, Poznan, Poland, September 3-7 (2007)
Duda, R., Hart, P.: Pattern Classification and Scene Analysis, pp. 271–272. John Wiley and Sons
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall (2001)
Singhal, A., Buckley, C., Mitra, M.: Pivoted Document Length Normalization, NSF grant supported study, Cornell University Ithaca NY
Garcia, E.: Patents on Duplicated Content and Re-Ranking Methods. In: SES 2005: Advanced Track Issues: The Patent Files, San Jose, August 8-11 (2005)
Tan, P.-N., Steinbach, M., Kumar, V.: Introduction to Data Mining, ch. 8, p. 500. Addison-Wesley (2005) ISBN: 0-321-32136-7
Zeljković, V., Praks, P.: A Comparative Study of Automated Iris Recognition Using the Biorthogonal Wavelets and the SVD-Free Latent Semantic Methods. In: ZNALOSTI 2007 Annual Conference on Knowledge Acquisition, Czecho-Slovak Knowledge Technology Conference, Ostrava, Czech Republic, February 21-23, pp. 143–154 (2007) ISBN: 978-80-248-1279-3
Berry, W.M., Dumais, S.T., O’Brien, G.W.: Using linear algebra for intelligent information retrieval. SIAM Review 37, 573–595 (1995)
Praks, P., Dvorský, J., Snášel, V., Černohorský, J.: On SVD-free latent semantic indexing for image retrieval for application in a hard industrial environment. In: IEEE ICIT 2003 (2003)
Praks, P., Kučera, R., Izquierdo, E.: The sparse image representation for automated image retrieval. In: IEEE ICIP 2008, pp. 25–28 (2008), doi:10.1109/ICIP.2008.4711682
Praus, P., Praks, P.: Hierarchical clustering of RGB surface water images based on MIA-LSI approach. Water SA 36(1), 143–150 (2010)
Krawiec, K., Bhanu, B.: Visual learning by evolutionary and coevolutionary feature synthesis. IEEE Trans. Evol. Comput. 11(5), 635–650 (2007)
Watchareeruetai, U., Takeuchi, Y., Matsumoto, T., Kudo, H., Ohnishi, N.: Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis. Genet. Program Evolvable. 12, 49–77 (2011), doi:10.1007/s10710-010-9118-x
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zeljkovic, V., Praks, P. (2012). Automatic Object Classification and Image Retrieval by Sobel Edge Detection and Latent Semantic Methods. In: Atzori, L., Delgado, J., Giusto, D. (eds) Mobile Multimedia Communications. MobiMedia 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30419-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-30419-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30418-7
Online ISBN: 978-3-642-30419-4
eBook Packages: Computer ScienceComputer Science (R0)