Abstract
A new method to detect salient pieces of boundaries in an image is presented. After detecting perceptually meaningful level lines, periodic binary sequences are built by labeling each point in close curves as salient or non-salient. We propose a general and automatic method to detect meaningful subsequences within these binary sequences. Experimental results show its good performance.
Chapter PDF
Similar content being viewed by others
References
Canny, J.: A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)
Cao, F., Lisani, J.L., Morel, J.M., Musé, P., Sur, F.: A Theory of Shape Identification. Lecture Notes in Mathematics, vol. 1948. Springer (2008)
Desolneux, A., Moisan, L., Morel, J.M.: From Gestalt Theory to Image Analysis, vol. 34. Springer (2008)
Grompone, R., Jakubowicz, J., Morel, J.M., Randall, G.: On Straight Line Segment Detection. Journal of Mathematical Imaging and Vision 32(3), 313–347 (2008)
Kanizsa, G.: Organization in Vision: Essays on Gestalt Perception. Praeger (1979)
Monasse, P., Guichard, F.: Fast Computation of a Contrast Invariant Image Representation. IEEE Transactions on Image Processing 9(5), 860–872 (2000)
Serra, J.: Image Analysis and Mathematical Morphology. Academic Press (1983)
Tepper, M.: Detecting clusters and boundaries: a twofold study on shape representation. Ph.D. thesis, Universidad de Buenos Aires (March 2011)
Tepper, M., Gómez, F., Musé, P., Almansa, A., Mejail, M.: Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition. In: Bayro-Corrochano, E., Eklundh, J.-O. (eds.) CIARP 2009. LNCS, vol. 5856, pp. 129–136. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tepper, M., Musé, P., Almansa, A., Mejail, M. (2012). Finding Edges by a Contrario Detection of Periodic Subsequences. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_95
Download citation
DOI: https://doi.org/10.1007/978-3-642-33275-3_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33274-6
Online ISBN: 978-3-642-33275-3
eBook Packages: Computer ScienceComputer Science (R0)