Abstract
In this paper, a colour segmentation process is proposed. The novelty relies on an efficient way to introduce a priori knowledge to isolate pertinent regions. Basically, from a pixel classification stage a suitable colour model is set up. A hybrid colour space is built by choosing meaningful components from several standard colour representations. Thereafter, a segmentation algorithm is performed. The region extraction is executed by a vectorial gradient dealing with hybrid colour space. From this point, a merging mechanism is carried out. It is based on a multi-graphs data structure where each graph represents a different point of view of the region layout. Hence, merging decisions can be taken considering graph information and according to a set of applicative rules. The whole system is assessed on ancient cadastral maps and experiments tend to reveal a reliable behaviour in term of information retrieval.
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Ogier, J.M., Mullot, R., Labiche, J., Lecourtier, Y.: Semantic coherency: the basis of an image interpretation device application to the cadastral map interpretation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(2), 322–338 (2000)
Falco, X.A., Udapa, J.K., et al.: User-steered image segmentation paradigms: live wire and live lane. Graphical Models and Image Processing 60(4), 233–260 (1998)
Loo, P.K., Tan, C.L.: Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid. Document Analysis Systems, 264–275 (2004)
Hall, M.: Correlation-based feature selection for machine learning. Thesis in Computer Science at the University of Waikato (1998)
Raveaux, R., Burie, J.C., Ogier, J.M.: A colour document interpretation: Application to ancient cadastral maps. In: The 9th International Conference On Document Analysis, pp. 1128–1132 (2007)
Rugna, J.D., Colantoni, P., Boukala, N.: Hybrid color spaces applied to image database. Electronic Imaging, SPIE, 254–264 (2004)
Di Zenzo, S.: A note on the gradient of a multi-image. Computer Vision, Graphics, and Image Processing 33 (1986)
Rosenberger, C.: Adaptative evaluation of image segmentation results. In: 18th International Conference on Pattern Recognition, pp. 399–402 (2006)
Otsu, N.: A Threshold Selection Method from Graylevel Histogram. IEEE Transactions on System, Man, Cybernetics 19(1), 62–66 (1978)
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Raveaux, R., Burie, JC., Ogier, JM. (2008). A Segmentation Scheme Based on a Multi-graph Representation: Application to Colour Cadastral Maps. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_20
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DOI: https://doi.org/10.1007/978-3-540-88188-9_20
Publisher Name: Springer, Berlin, Heidelberg
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