Abstract
Textures are important visual attribute used in image analysis. This paper presents a novel methodology, based on a deterministic walk, to texture analysis and texture characterization. Most of the methods adopted to classify textures deal with a defined scale of texture. The method proposed explores the set in all scales and is able to characterize efficiently different texture classes. The paper presents the deterministic walk technique and its results for two experiments using Brodatz images.
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Campiteli, M.G., Martinez, A.S., Bruno, O.M. (2006). An Image Analysis Methodology Based on Deterministic Tourist Walks. In: Sichman, J.S., Coelho, H., Rezende, S.O. (eds) Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. IBERAMIA SBIA 2006 2006. Lecture Notes in Computer Science(), vol 4140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11874850_20
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DOI: https://doi.org/10.1007/11874850_20
Publisher Name: Springer, Berlin, Heidelberg
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