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Conference papers
Multiscale local multiple orientation estimation using mathematical morphology and B-spline interpolation
Abstract : This paper introduces a novel multiscale approach to estimate local multiple orientations, which are underlying in the discrete grid of an image. The basic ingredients are two: on the one hand, multiscale directional openings by line segments of variable length, which produce directional signatures for various scales, with the estimation of the orientation properties; and on the other hand, multiple peak detection by means of b-spline interpolation of the directional signatures. Experimental results on real and synthetic images show the applications of the proposed method based on mathematical morphology, which can detect local multiple orientations in textured images at different scales with high accuracy.
Keywords :
B-spline
Different scale
Line segment
morphological orientation analysis
Multi-scale approaches
Multiple orientations
Multiple-peak
Multiscales
Orientation properties
Synthetic images
texture analysis
Textured images
Variable length
Estimation
Mathematical morphology
Signal detection
Signal theory
Interpolation
https://hal-mines-paristech.archives-ouvertes.fr/hal-00834492
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Saturday, June 15, 2013 - 4:15:51 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Saturday, June 15, 2013 - 4:15:51 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM