Abstract
An improved morphological estimation method of textural elements based on the Primitive, Grain, and Point Configuration (PGPC) texture model is proposed. The PGPC texture model has shown promising applications such as noise removal, texture modification, and texture synthesis. However, the estimation is not always successful since the magnification process of the primitive to ensure the assumption that the grains are homothetic does not always fit to each image. We propose in this paper a novel estimation method introducing more flexibility into homotheticity’s conventional assumption of the grains, and exploring a suitable structuring element for the homothetic magnification process of the primitive. Experimental results show that the proposed method provides more representative grains than the conventional method.
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References
Petrou, M., Garicia-Sevilla, P.: Image Processing: Deal with Texture. John Wiley & Sons Ltd., Chichester (2006)
Wechsler, H.: Texture analysis - a survey. Signal Processing 2, 271–282 (1980)
Serra, J. (ed.): Image Analysis and Mathematical Morphology. Technical Advances, vol. 2. Academic Press, London (1988)
Soille, P.: Morphological Image Analysis, 2nd edn. Springer, Heidelberg (2003)
Heijmans, H.J.A.M.: Morphological Image Operators. Academic Press, London (1994)
Asano, A., Ohkubo, T., Muneyasu, M., Hinamoto, T.: Primitive and Point Configuration texture model and primitive estimation using mathematical morphology. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 178–185. Springer, Heidelberg (2003)
Fujiki, A., Asano, A., Muneyasu, M.: Unsupervised structuring element optimization of morphological opening for texture images. In: Proc. 2006 International Symposium on Nonlinear Theory and its Applications, pp. 711–714 (2006)
Kobayashi, Y., Asano, A.: Modification of spatial distribution in primitive and point configuration texture model. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 877–884. Springer, Heidelberg (2003)
Li, L., Asano, A., Muraki Asano, C.: Statistical analysis of human visual impressions on morphological image manipulation of gray scale textures. Optical Review 17(2), 90–96 (2010)
Asano, A., Kobayashi, Y., Muraki, C., Muneyasu, M.: Optimization of gray scale morphological opening for noise removal in texture images. In: Proc. 47th IEEE International Midwest Symposium on Circuits and Systems, vol. 1, pp. 313–316 (2004)
Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover, New York (1966)
Li, L., Muraki Asano, C., Asano, A.: Dual primitive estimation for morphological texture analysis. In: Proc. 10th International Symposium on Communications and Information Technologies, pp. 149–152 (2010)
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Yang, L., Li, L., Muraki Asano, C., Asano, A. (2011). Primitive and Grain Estimation Using Flexible Magnification for a Morphological Texture Model. In: Soille, P., Pesaresi, M., Ouzounis, G.K. (eds) Mathematical Morphology and Its Applications to Image and Signal Processing. ISMM 2011. Lecture Notes in Computer Science, vol 6671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21569-8_17
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DOI: https://doi.org/10.1007/978-3-642-21569-8_17
Publisher Name: Springer, Berlin, Heidelberg
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