2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO)

Abstract : We present a filtering method for 2D curvilinear structures, called RORPO (Ranking the Orientation Responses of Path Operators). RORPO is based on path operators, a recently developed family of mathematical morphology filters. Compared with state of the art methods, RORPO is non-local and well adapted to the intrinsic anisotropy of curvilinear structures. Since RORPO does not depend on a linear scale-space framework, it tends to preserve object contours without a blurring effect. Due to these properties, RORPO is a useful low-level filter and can also serve as a curvilinear prior in segmentation frameworks. In this article, after introducing RORPO, we develop the 2D version of the algorithm and present a few applications.
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Image Processing On Line, IPOL - Image Processing on Line, 2017, 7, pp.246-261. 〈10.5201/ipol.2017.207〉
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Odyssée Merveille, Benoît Naegel, Hugues Talbot, Laurent Najman, Nicolas Passat. 2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO). Image Processing On Line, IPOL - Image Processing on Line, 2017, 7, pp.246-261. 〈10.5201/ipol.2017.207〉. 〈hal-01599528〉

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