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Signal, Image and Video Processing

, Volume 12, Issue 7, pp 1245–1253 | Cite as

Multiscale estimation of multiple orientations based on morphological directional openings

  • Álvar-Ginés Legaz-Aparicio
  • Rafael Verdú-Monedero
  • Jesús Angulo
Original Paper

Abstract

This paper introduces a novel approach to estimate multiple orientations at each pixel of a gray image at different scales. The main orientations are provided by a bank of directional openings. Gathering the responses of the filtered directional openings provide at each pixel a discrete sequence which is the directional signature. Then, the directional signature is interpolated by cubic B-splines, and the multiple orientations at each pixel are obtained by means of peak detection in the continuous directional signature. This procedure is performed using structuring elements with different lengths which results in a multiscale approach. The comparison with other existing methods as well as the experimental results on images shows the ability of the proposed method to detect multiple orientations in textured images at different scales with high accuracy.

Keywords

Multiple orientation estimation Mathematical morphology Directional signature Orientation score 

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Universidad Politécnica de CartagenaCartagenaSpain
  2. 2.Centre de Morphologie MathématiqueMINES ParisTechParisFrance

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