Morphological Auto-associative memories applied to true-color image patterns

Roberto A. Vazquez; Humberto Sossa

doi:10.1109/IJCNN.2009.5178733

Morphological Auto-associative memories applied to true-color image patterns

Roberto A. Vazquez, Humberto Sossa

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications used in the classical models by additions/subtractions and maximums/minimums depending on the proposed model. MAMs have been applied to different pattern recognition problems including face localization and gray scale image restoration. Despite of his power, it has not been applied in problems that involve true-color patterns. In this paper we show how a Morphological Auto-associative Memory (MAAM) can be applied to restore true-color patterns. We present a study of the behavior of this associative model with a benchmark of 14400 images altered by different type of noises.

Original language	English
Title of host publication	2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages	3196-3203
Number of pages	8
DOIs	https://doi.org/10.1109/IJCNN.2009.5178733
State	Published - 2009
Event	2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States Duration: 14 Jun 2009 → 19 Jun 2009

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2009 International Joint Conference on Neural Networks, IJCNN 2009
Country/Territory	United States
City	Atlanta, GA
Period	14/06/09 → 19/06/09

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10.1109/IJCNN.2009.5178733

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title = "Morphological Auto-associative memories applied to true-color image patterns",

abstract = "Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications used in the classical models by additions/subtractions and maximums/minimums depending on the proposed model. MAMs have been applied to different pattern recognition problems including face localization and gray scale image restoration. Despite of his power, it has not been applied in problems that involve true-color patterns. In this paper we show how a Morphological Auto-associative Memory (MAAM) can be applied to restore true-color patterns. We present a study of the behavior of this associative model with a benchmark of 14400 images altered by different type of noises.",

author = "Vazquez, {Roberto A.} and Humberto Sossa",

year = "2009",

doi = "10.1109/IJCNN.2009.5178733",

language = "Ingl{\'e}s",

isbn = "9781424435531",

series = "Proceedings of the International Joint Conference on Neural Networks",

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booktitle = "2009 International Joint Conference on Neural Networks, IJCNN 2009",

note = "2009 International Joint Conference on Neural Networks, IJCNN 2009 ; Conference date: 14-06-2009 Through 19-06-2009",

}

Vazquez, RA & Sossa, H 2009, Morphological Auto-associative memories applied to true-color image patterns. in 2009 International Joint Conference on Neural Networks, IJCNN 2009., 5178733, Proceedings of the International Joint Conference on Neural Networks, pp. 3196-3203, 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, GA, United States, 14/06/09. https://doi.org/10.1109/IJCNN.2009.5178733

Morphological Auto-associative memories applied to true-color image patterns. / Vazquez, Roberto A.; Sossa, Humberto.
2009 International Joint Conference on Neural Networks, IJCNN 2009. 2009. p. 3196-3203 5178733 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Morphological Auto-associative memories applied to true-color image patterns

AU - Vazquez, Roberto A.

AU - Sossa, Humberto

PY - 2009

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N2 - Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications used in the classical models by additions/subtractions and maximums/minimums depending on the proposed model. MAMs have been applied to different pattern recognition problems including face localization and gray scale image restoration. Despite of his power, it has not been applied in problems that involve true-color patterns. In this paper we show how a Morphological Auto-associative Memory (MAAM) can be applied to restore true-color patterns. We present a study of the behavior of this associative model with a benchmark of 14400 images altered by different type of noises.

AB - Morphological associative memories (MAMs) are a special type of associative memory which exhibit optimal absolute storage capacity and one-step convergence. This associative model substitutes the additions and multiplications used in the classical models by additions/subtractions and maximums/minimums depending on the proposed model. MAMs have been applied to different pattern recognition problems including face localization and gray scale image restoration. Despite of his power, it has not been applied in problems that involve true-color patterns. In this paper we show how a Morphological Auto-associative Memory (MAAM) can be applied to restore true-color patterns. We present a study of the behavior of this associative model with a benchmark of 14400 images altered by different type of noises.

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Y2 - 14 June 2009 through 19 June 2009

ER -

Morphological Auto-associative memories applied to true-color image patterns

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