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Smoothed Shock Filtering: Algorithm and Applications

Abstract : This article presents the smoothed shock filter, which iteratively produces local segmentations in image’s inflection zones with smoothed morphological operators (dilations, erosions). Hence, it enhances contours by creating smoothed ruptures, while preserving homogeneous regions. After describing the algorithm, we show that it is a robust approach for denoising, compared to related works. Then, we expose how we exploited this filter as a pre-processing step in different image analysis tasks (medical image segmentation, fMRI, and texture classification). By means of its ability to enhance important patterns in images, the smoothed shock filter has a real positive impact upon such applications, for which we would like to explore it more in the future.
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https://hal.uca.fr/hal-03673761
Contributor : Christophe Tournayre Connect in order to contact the contributor
Submitted on : Friday, May 20, 2022 - 11:07:08 AM
Last modification on : Sunday, May 22, 2022 - 3:42:07 AM

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Distributed under a Creative Commons Attribution 4.0 International License

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Antoine Vacavant. Smoothed Shock Filtering: Algorithm and Applications. Journal of Imaging, MDPI, 2021, 7 (3), pp.56. ⟨10.3390/jimaging7030056⟩. ⟨hal-03673761⟩

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