Abstract
The paper presents a method of static graphical pattern identification inspired by human perception. Cooperation of visual cortex regions is thought to play a major role in the perception, that is why in our approach this cooperation is modelled by joining algorithms responsible for shape and color processing. In order to obtain more stable set of characteristic points, the SIFT algorithm has been modified. To acquire information about shapes Harris operator and Hough transform are considered. The proposed method achieves about 28% less number of incorrect identification comparing to the results obtained by the classical SIFT algorithm.
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Markowska-Kaczmar, U., Rybski, A. (2011). Graphical Pattern Identification Inspired by Perception. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_23
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DOI: https://doi.org/10.1007/978-3-642-20042-7_23
Publisher Name: Springer, Berlin, Heidelberg
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