Abstract
Ultimate levelings are operators that extract important image contrast information from a scale space based on levelings. During the residual extraction process, it is very common that some residues are extracted from undesirable regions, but they should be filtered out. In order to attend this problem it can be used some strategies to filter residues extracted by ultimate levelings. In this paper, we selected desirable regions from the residual extraction process through a binary classifier. The selected regions are used later in a solution to the bounding box detection problem applied in a plant images dataset.
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References
Serra, J.: Image Analysis and Mathematical Morphology. Volume 2: Theoretical Advances. Academic Press, London (1988)
Serra, J., Vincent, L.: An overview of morphological filtering. Circ. Syst. Sign. Process. 11, 47–108 (1992)
Najman, L., Talbot, H.: Mathematical Morphology. Wiley, London (2013)
Bangham, J.A., Chardaire, P., Pye, C.J., Ling, P.D.: Multiscale nonlinear decomposition: the sieve decomposition theorem. IEEE Trans. Pattern Anal. Mach. Intell. 18, 529–539 (1996)
Bangham, J.A., Ling, P.D., Harvey, R.: Scale-space from nonlinear filters. IEEE Trans. Pattern Anal. Mach. Intell. 18, 520–528 (1996)
Alves, W.A., Hashimoto, R.F., Marcotegui, B.: Ultimate levelings. Comput. Vis. Image Underst. 165, 60–74 (2017)
Hernández, J., Marcotegui, B.: Shape ultimate attribute opening. Image Vis. Comput. 29, 533–545 (2011)
Alves, W.A.L., Hashimoto, R.F.: Ultimate grain filter. In: IEEE International Conference on Image Processing, Paris, France, pp. 2953–2957 (2014)
Alves, W., Morimitsu, A., Castro, J., Hashimoto, R.: Extraction of numerical residues in families of levelings. In: 2013 26th SIBGRAPI - Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 349–356 (2013)
Gobber, C., Alves, W.A.L., Hashimoto, R.F.: Ultimate leveling based on Mumford-Shah energy functional applied to plant detection. In: Mendoza, M., Velastín, S. (eds.) CIARP 2017. LNCS, vol. 10657, pp. 220–228. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75193-1_27
Alves, W.A.L., Morimitsu, A., Hashimoto, R.F.: Scale-space representation based on levelings through hierarchies of level sets. In: Benediktsson, J.A., Chanussot, J., Najman, L., Talbot, H. (eds.) ISMM 2015. LNCS, vol. 9082, pp. 265–276. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18720-4_23
Caselles, V., Monasse, P.: Geometric Description of Images as Topographic Maps. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-04611-7
Beucher, S.: Numerical residues. Image Vis. Comput. 25, 405–415 (2007)
Fabrizio, J., Marcotegui, B.: Fast implementation of the ultimate opening. In: Proceedings of the 9th International Symposium on Mathematical Morphology, pp. 272–281 (2009)
Mumford, D., Shah, J.: Optimal approximations by piecewise smooth functions and associated variational problems. Commun. Pure Appl. Math. 42, 577–685 (1989)
Xu, Y., Géraud, T., Najman, L.: Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. Pattern Recogn. Lett. 83(Part 3), 278–286 (2016)
Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image Vis. Comput. 22, 761–767 (2004). British Machine Vision Computing 2002
Xu, Y., Monasse, P., Géraud, T., Najman, L.: Tree-based Morse regions: a topological approach to local feature detection. IEEE Trans. Image Process. 23, 5612–5625 (2014)
Minervini, M., Fischbach, A., Scharr, H., Tsaftaris, S.A.: Finely-grained annotated datasets for image-based plant phenotyping. Pattern Recogn. Lett. 81, 80–89 (2016)
Acknowledgments
The authors would like to thank UNINOVE and FAPESP - São Paulo Research Foundation (Process 2016/02547-5) by financial support.
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Alves, W.A.L., Gobber, C.F., Hashimoto, R.F. (2018). Plant Bounding Box Detection from Desirable Residues of the Ultimate Levelings. In: Campilho, A., Karray, F., ter Haar Romeny, B. (eds) Image Analysis and Recognition. ICIAR 2018. Lecture Notes in Computer Science(), vol 10882. Springer, Cham. https://doi.org/10.1007/978-3-319-93000-8_53
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DOI: https://doi.org/10.1007/978-3-319-93000-8_53
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