Image recognition processor based on morphological associative memories

Enrique Guzmán; Selene Alvarado; Oleksiy Pogrebnyak; Cornelio Yañez

doi:10.1109/CERMA.2007.4367696

Image recognition processor based on morphological associative memories

Enrique Guzmán, Selene Alvarado, Oleksiy Pogrebnyak, Cornelio Yañez

Centro de Investigación en Computación (CIC)

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

5 Scopus citations

Abstract

In this paper, the description of an image recognition processor based on Morphological Associative Memories (MAM) is presented. The combination of the MAM features with its implementation in a Programmable Logic Device grants to the system high speeds of processing, high immunity to the present noise in the images and great capacity of storage; these features make of our proposal a robust system and ideal to work in applications with autonomous real time systems. The described processor, with aid of a binary process of the image, realizing the filter functions, and the use of Morphological Heteroassociative Memories min demonstrated a high performance in the recognition of images corrupted with diverse types of noises.

Original language	English
Title of host publication	Electr., Rob. Autom. Mech. Conf., CERMA - Proc.
Pages	260-265
Number of pages	6
DOIs	https://doi.org/10.1109/CERMA.2007.4367696
State	Published - 2007
Event	Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Cuernavaca, Morelos, Mexico Duration: 25 Sep 2007 → 28 Sep 2007

Publication series

Name	Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings

Conference

Conference	Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007
Country/Territory	Mexico
City	Cuernavaca, Morelos
Period	25/09/07 → 28/09/07

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10.1109/CERMA.2007.4367696

Cite this

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title = "Image recognition processor based on morphological associative memories",

abstract = "In this paper, the description of an image recognition processor based on Morphological Associative Memories (MAM) is presented. The combination of the MAM features with its implementation in a Programmable Logic Device grants to the system high speeds of processing, high immunity to the present noise in the images and great capacity of storage; these features make of our proposal a robust system and ideal to work in applications with autonomous real time systems. The described processor, with aid of a binary process of the image, realizing the filter functions, and the use of Morphological Heteroassociative Memories min demonstrated a high performance in the recognition of images corrupted with diverse types of noises.",

author = "Enrique Guzm{\'a}n and Selene Alvarado and Oleksiy Pogrebnyak and Cornelio Ya{\~n}ez",

year = "2007",

doi = "10.1109/CERMA.2007.4367696",

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

isbn = "0769529747",

series = "Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings",

pages = "260--265",

booktitle = "Electr., Rob. Autom. Mech. Conf., CERMA - Proc.",

note = "Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 ; Conference date: 25-09-2007 Through 28-09-2007",

}

Guzmán, E, Alvarado, S, Pogrebnyak, O & Yañez, C 2007, Image recognition processor based on morphological associative memories. in Electr., Rob. Autom. Mech. Conf., CERMA - Proc.., 4367696, Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings, pp. 260-265, Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007, Cuernavaca, Morelos, Mexico, 25/09/07. https://doi.org/10.1109/CERMA.2007.4367696

Image recognition processor based on morphological associative memories. / Guzmán, Enrique; Alvarado, Selene; Pogrebnyak, Oleksiy et al.
Electr., Rob. Autom. Mech. Conf., CERMA - Proc.. 2007. p. 260-265 4367696 (Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings).

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

TY - GEN

T1 - Image recognition processor based on morphological associative memories

AU - Guzmán, Enrique

AU - Alvarado, Selene

AU - Pogrebnyak, Oleksiy

AU - Yañez, Cornelio

PY - 2007

Y1 - 2007

N2 - In this paper, the description of an image recognition processor based on Morphological Associative Memories (MAM) is presented. The combination of the MAM features with its implementation in a Programmable Logic Device grants to the system high speeds of processing, high immunity to the present noise in the images and great capacity of storage; these features make of our proposal a robust system and ideal to work in applications with autonomous real time systems. The described processor, with aid of a binary process of the image, realizing the filter functions, and the use of Morphological Heteroassociative Memories min demonstrated a high performance in the recognition of images corrupted with diverse types of noises.

AB - In this paper, the description of an image recognition processor based on Morphological Associative Memories (MAM) is presented. The combination of the MAM features with its implementation in a Programmable Logic Device grants to the system high speeds of processing, high immunity to the present noise in the images and great capacity of storage; these features make of our proposal a robust system and ideal to work in applications with autonomous real time systems. The described processor, with aid of a binary process of the image, realizing the filter functions, and the use of Morphological Heteroassociative Memories min demonstrated a high performance in the recognition of images corrupted with diverse types of noises.

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DO - 10.1109/CERMA.2007.4367696

M3 - Contribución a la conferencia

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SN - 9780769529745

T3 - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings

SP - 260

EP - 265

BT - Electr., Rob. Autom. Mech. Conf., CERMA - Proc.

T2 - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007

Y2 - 25 September 2007 through 28 September 2007

ER -

Image recognition processor based on morphological associative memories

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