Trajectory-Based Morphological Operators: A Model for Efficient Image Processing

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Title: Trajectory-Based Morphological Operators: A Model for Efficient Image Processing
Authors: Jimeno-Morenilla, Antonio | Pujol, Francisco A. | Molina-Carmona, Rafael | Sanchez-Romero, Jose-Luis | Pujol, Mar
Research Group/s: UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante | Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Morphological operations | Morphological trajectory model | Trajectory-based | Efficient image processing
Knowledge Area: Arquitectura y Tecnología de Computadores | Ciencia de la Computación e Inteligencia Artificial
Issue Date: 14-Apr-2014
Publisher: Hindawi Publishing Corporation
Citation: The Scientific World Journal. 2014, Article ID 801587, 9 pages. doi:10.1155/2014/801587
Abstract: Mathematical morphology has been an area of intensive research over the last few years. Although many remarkable advances have been achieved throughout these years, there is still a great interest in accelerating morphological operations in order for them to be implemented in real-time systems. In this work, we present a new model for computing mathematical morphology operations, the so-called morphological trajectory model (MTM), in which a morphological filter will be divided into a sequence of basic operations. Then, a trajectory-based morphological operation (such as dilation, and erosion) is defined as the set of points resulting from the ordered application of the instant basic operations. The MTM approach allows working with different structuring elements, such as disks, and from the experiments, it can be extracted that our method is independent of the structuring element size and can be easily applied to industrial systems and high-resolution images.
URI: http://hdl.handle.net/10045/37598
ISSN: 1537-744X
DOI: 10.1155/2014/801587
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2014 Antonio Jimeno-Morenilla et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Peer Review: si
Publisher version: http://dx.doi.org/10.1155/2014/801587
Appears in Collections:INV - UNICAD - Artículos de Revistas
INV - i3a - Artículos de Revistas
INV - Smart Learning - Artículos de Revistas

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