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Communication Dans Un Congrès Année : 2014

Multi-scale crest line extraction based on half Gaussian Kernels

Résumé

Crest line extraction has always been a challenging task in image processing and its applications. It is possible to detect ridges and valleys in images using second order filters. In order to estimate crest lines of variable widths, a multi-scale analysis of the image is required. In this paper we propose a new ridge/valley detection method in images based on the difference of rotating Gaussian semi filters adapted in a multi-scale process. Due to the directional filters, we obtain a new ridge/valley anisotropic detector enabling very precise detection of ridge/valley of varied widths. Moreover, as the detector filters compute the two directions of crest lines, even highly bended crest lines are correctly extracted. Numerical comparisons with other oriented Gaussian filters and results on real images validate the interest of this method.
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Dates et versions

hal-02115892 , version 1 (30-04-2019)

Identifiants

Citer

Baptiste Magnier, Arezki Aberkane, Philippe Borianne, Philippe Montesinos, Christophe Jourdan. Multi-scale crest line extraction based on half Gaussian Kernels. ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, Florence, France. pp.5105-5109, ⟨10.1109/ICASSP.2014.6854575⟩. ⟨hal-02115892⟩
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