Abstract

MARTINEZ, ZORAIDA. Curves Extraction in Images. Rev.Colomb.Estad. [online]. 2015, vol.38, n.1, pp.295-320. ISSN 0120-1751.  https://doi.org/10.15446/rce.v38n1.48815.

We present a methodology for extracting processes of curves in images, using a statistical summary of the directional information given in measures of location, curvature and direction associated with the pixels that compose each curve. The main purpose is to obtain measures that serve as input for the reconstruction, in vector format, of a process of curves which are of interest, so that the extracted curves can be easily stored and reconstructed based on few parameters conserving representative information of its curvature at each pixel. As starting point, the directional information obtained from a methodology of consistent curves detection is used, which includes the decomposition of the image in a directional domain contained in \mathbb{R}^2-k, with k\in\mathbb {N}. Basic summary measures criteria are proposed for this type of data and the application to four cases of satellite images for extraction of sections of rivers in these images are shown.

Keywords : Curvature; Detection; Energy; Feature Selection; Image Processing; Maximum; Median; Trajectory.

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