A Doubly Adaptive Algorithm for Edge Detection in 3D Images-Reference-Cited by-同舟云学术

A Doubly Adaptive Algorithm for Edge Detection in 3D Images

Published:2016 Issue: Volume:2016 Page:1-16
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Lantarón Sagrario¹^ORCID,López M. Dolores¹^ORCID,Rodrigo Javier²^ORCID

Affiliation:

1. Departamento de Matemática e Informática Aplicadas a las Ingenierías Civil y Naval, ETSI de Caminos, Universidad Politécnica de Madrid, Avda. Profesor Aranguren s/n, 28040 Madrid, Spain

2. Departamento de Matemática Aplicada, Escuela Técnica Superior de Ingeniería (ICAI), Universidad Pontificia Comillas, C/Alberto Aguilera 25, 28015 Madrid, Spain

Abstract

This paper proposes a new algorithm (DA3DED) for edge detection in 3D images. DA3DED is doubly adaptive because it is based on the adaptive algorithm EDAS-1 for detecting edges in functions of one variable and a second adaptive procedure based on the concept of projective complexity of a 3D image. DA3DED has been tested on 3D images that modelize real problems (composites and fractures). It has been much faster than the 1D edge detection algorithm for 3D images derived from EDAS-1.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2016/4904279.pdf

Reference30 articles.

1. Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts

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