Automatic extraction of brushstroke orientation from paintings
- 180 Downloads
Spatial characteristics play a major role in the human analysis of paintings. One of the main spatial characteristics is the pattern of brushstrokes. The orientation, shape, and distribution of brushstrokes are important clues for analysis. This paper focuses on the automatic extraction of the orientation of brushstrokes from digital reproductions of paintings. We present a novel technique called the (prevailing orientation extraction technique (POET)). The technique is based on a straightforward circular filter and a dedicated orientation extraction phase; it performs at a level that is undistinguishable from that of humans. From our experimental results we may conclude that POET supports the automatic extraction of the spatial distribution of oriented brushstrokes. Such an automatic extraction will aid art experts in their analysis of paintings.
KeywordsPrevailing orientation extraction technique Texture Orientation extraction
Unable to display preview. Download preview PDF.
- 1.Arora, S., Acharya, J., Verma, A., Panigrahi, P.K.: Multilevel thresholding for image segmentation through a fast statistical recursive algorithm (2006). http://arxiv.org/pdf/cs/0602044
- 2.Bigün, J., Granlund, G.H.: Optimal orientation detection of linear symmetry. In: Proceedings of the IEEE First International Conference on Computer Vision, pp. 433–438. London, Great Britain (1987)Google Scholar
- 3.Chetverikov, D., Haralick, R.: Texture anisotropy, symmetry, regularity: recovering structure and orientation from interaction maps. In: Proceedings of the British Machine Vision Conference, pp. 57–66 (1995)Google Scholar
- 6.Feng, X., Milanfar, P.: Multiscale principal components analysis for image local orientation estimation. In: Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, Vol. 1, pp. 478–482. IEEE Press, Pacific Grove (2002)Google Scholar
- 8.Gonzalez R. and Woods R. (2002). Digital Image Processing, 2nd edn. Prentice Hall, Englewood Cliffs Google Scholar
- 9.Knutsson, H.: Representing local structure using tensors. In: Proceedings of Scandinavian Conference on Image Analysis (1989)Google Scholar
- 10.Lettner, M., Kammerer, P., Sablatnig, R.: Texture analysis of painted strokes. In: Proceedings 28th Workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), Schriftenreiheder OCG, Vol. 179, pp. 269–276 (2004)Google Scholar
- 13.van Dantzig M.M. (1973). Pictology. E.J.Brill, LeidenGoogle Scholar