A new article is available in IPOL: http://www.ipol.im/pub/art/2017/207/
Odyssee Merveille, Benoît Naegel, Hugues Talbot, Laurent Najman, and
Nicolas Passat,
2D Filtering of Curvilinear Structures by Ranking the Orientation
Responses of Path Operators (RORPO),
Image Processing On Line, 7 (2017), pp. 246–261.
https://doi.org/10.5201/ipol.2017.207
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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