Improving parameters selection of a seeded region growing method for multiband image segmentation

Sánchez Hernández, Javier and Martínez Izquierdo, María Estíbaliz and Arquero Hidalgo, Águeda (2015). Improving parameters selection of a seeded region growing method for multiband image segmentation. "IEEE Latin America Transactions", v. 13 (n. 3); pp. 843-849. ISSN 1548-0992. https://doi.org/10.1109/TLA.2015.7069113.

Description

Title: Improving parameters selection of a seeded region growing method for multiband image segmentation
Author/s:
  • Sánchez Hernández, Javier
  • Martínez Izquierdo, María Estíbaliz
  • Arquero Hidalgo, Águeda
Item Type: Article
Título de Revista/Publicación: IEEE Latin America Transactions
Date: March 2015
ISSN: 1548-0992
Volume: 13
Subjects:
Freetext Keywords: OBIA; Image segmentation; Seed selection; Region growing; Segmentation objective evaluation
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In the last decade, Object Based Image Analysis (OBIA) has been accepted as an effective method for processing high spatial resolution multiband images. This image analysis method is an approach that starts with the segmentation of the image. Image segmentation in general is a procedure to partition an image into homogenous groups (segments). In practice, visual interpretation is often used to assess the quality of segmentation and the analysis relies on the experience of an analyst. In an effort to address the issue, in this study, we evaluate several seed selection strategies for an automatic image segmentation methodology based on a seeded region growing-merging approach. In order to evaluate the segmentation quality, segments were subjected to spatial autocorrelation analysis using Moran's I index and intra-segment variance analysis. We apply the algorithm to image segmentation using an aerial multiband image.

More information

Item ID: 35709
DC Identifier: http://oa.upm.es/35709/
OAI Identifier: oai:oa.upm.es:35709
DOI: 10.1109/TLA.2015.7069113
Official URL: https://ieeexplore.ieee.org/document/7069113
Deposited by: Memoria Investigacion
Deposited on: 08 Jul 2015 07:13
Last Modified: 31 May 2019 13:33
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