Colour mathematical morphology for neural image analysis

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Title: Colour mathematical morphology for neural image analysis
Authors: Ortiz Zamora, Francisco Gabriel | Torres, Fernando | Juan Navarro, Emilio de | Cuenca, Nicolás
Research Group/s: Automática, Robótica y Visión Artificial | Neurobiología del Sistema Visual y Terapia de Enfermedades Neurodegenerativas (NEUROVIS)
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Departamento de Fisiología, Genética y Microbiología | Universidad de Alicante. Departamento de Biotecnología
Keywords: Neural image | Mathematical morphology | Colour images
Knowledge Area: Ingeniería de Sistemas y Automática
Issue Date: Dec-2002
Publisher: Elsevier
Citation: ORTIZ ZAMORA, Francisco Gabriel, et al. “Colour mathematical morphology for neural image analysis”. Real-Time Imaging. Vol. 8, Issue 6 (Dec. 2002). ISSN 1077-2014, pp. 455-465
Abstract: This paper presents an algorithm for automatic neural image analysis in immunostained vertebrate retinas. We present a useful tool for cell quantification avoiding the lost of information of traditional binary techniques in automatic recognition of images. The application is based on the extension of the mathematical morphology to colour images. In the paper, we define the basics and more complex morphological operations to vectorial image processing. We propose and demonstrate a colour image reconstruction by geodesic transformations. In addition, we adapt the morphological segmentation of greyscale image to the segmentation of multispectral images of retinas of monkeys.
Sponsor: This work has been partially supported by DGESIC PB98-0972.
ISSN: 1077-2014
DOI: 10.1006/rtim.2002.0288
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
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Appears in Collections:INV - AUROVA - Artículos de Revistas
INV - NEUROVIS - Artículos de Revistas

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