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Multiscale extension of the gravitational approach to edge detection

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Abstract
The multiscale techniques for edge detection aim to combine the advantages of small and large scale methods, usually by blending their results. In this work we introduce a method for the multiscale extension of the Gravitational Edge Detector based on a t-norm T. We smoothen the image with a Gaussian filter at different scales then perform inter-scale edge tracking. Results are included illustrating the improvements resulting from the application of the multiscale approach in both a quantitative and a qualitative way.
Keywords
SCALE-SPACE, DETECTION ALGORITHMS, IMAGES

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MLA
Lopez-Molina, Carlos et al. “Multiscale Extension of the Gravitational Approach to Edge Detection.” Lecture Notes in Artificial Intelligence. Ed. JA Lozano, JA Gámez, & JA Moreno. Vol. 7023. Berlin, Germany: Springer, 2011. 283–292. Print.
APA
Lopez-Molina, C., De Baets, B., Bustince, H., Barrenechea, E., & Galar, M. (2011). Multiscale extension of the gravitational approach to edge detection. In J. Lozano, J. Gámez, & J. Moreno (Eds.), Lecture Notes in Artificial Intelligence (Vol. 7023, pp. 283–292). Presented at the 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011), Berlin, Germany: Springer.
Chicago author-date
Lopez-Molina, Carlos, Bernard De Baets, Humberto Bustince, Edurne Barrenechea, and Mikel Galar. 2011. “Multiscale Extension of the Gravitational Approach to Edge Detection.” In Lecture Notes in Artificial Intelligence, ed. JA Lozano, JA Gámez, and JA Moreno, 7023:283–292. Berlin, Germany: Springer.
Chicago author-date (all authors)
Lopez-Molina, Carlos, Bernard De Baets, Humberto Bustince, Edurne Barrenechea, and Mikel Galar. 2011. “Multiscale Extension of the Gravitational Approach to Edge Detection.” In Lecture Notes in Artificial Intelligence, ed. JA Lozano, JA Gámez, and JA Moreno, 7023:283–292. Berlin, Germany: Springer.
Vancouver
1.
Lopez-Molina C, De Baets B, Bustince H, Barrenechea E, Galar M. Multiscale extension of the gravitational approach to edge detection. In: Lozano J, Gámez J, Moreno J, editors. Lecture Notes in Artificial Intelligence. Berlin, Germany: Springer; 2011. p. 283–92.
IEEE
[1]
C. Lopez-Molina, B. De Baets, H. Bustince, E. Barrenechea, and M. Galar, “Multiscale extension of the gravitational approach to edge detection,” in Lecture Notes in Artificial Intelligence, La Laguna, Spain, 2011, vol. 7023, pp. 283–292.
@inproceedings{8553688,
  abstract     = {The multiscale techniques for edge detection aim to combine the advantages of small and large scale methods, usually by blending their results. In this work we introduce a method for the multiscale extension of the Gravitational Edge Detector based on a t-norm T. We smoothen the image with a Gaussian filter at different scales then perform inter-scale edge tracking. Results are included illustrating the improvements resulting from the application of the multiscale approach in both a quantitative and a qualitative way.},
  author       = {Lopez-Molina, Carlos and De Baets, Bernard and Bustince, Humberto and Barrenechea, Edurne and Galar, Mikel},
  booktitle    = {Lecture Notes in Artificial Intelligence},
  editor       = {Lozano, JA and Gámez, JA and Moreno, JA},
  isbn         = {9783642252730},
  issn         = {0302-9743},
  keywords     = {SCALE-SPACE,DETECTION ALGORITHMS,IMAGES},
  language     = {eng},
  location     = {La Laguna, Spain},
  pages        = {283--292},
  publisher    = {Springer},
  title        = {Multiscale extension of the gravitational approach to edge detection},
  url          = {http://dx.doi.org/10.1007/978-3-642-25274-7_29},
  volume       = {7023},
  year         = {2011},
}

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