Multiscale extension of the gravitational approach to edge detection

Authors:
Carlos Lopez-Molina;Bernard De Baets;Humberto Bustince;Edurne Barrenechea;Mikel Galar
Affiliations:
Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain and Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Gent, Belgium;Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Gent, Belgium;Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain;Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain;Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain
Venue:
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Year:
2011

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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.