Image Recognition Processor based on Morphological Associative Memories

Author

Guzmán, Enrique ; Alvarado, Selene ; Pogrebnyak, Oleksiy ; Yañez, Cornelio

Author_Institution

Technol. Univ. of the Mixteca, Huajuapan de Leon

fYear

2007

fDate

25-28 Sept. 2007

Firstpage

260

Lastpage

265

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.

Keywords

content-addressable storage; image recognition; programmable logic devices; image recognition processor; morphological associative memories; programmable logic device; Associative memory; Biological neural networks; Energy resolution; Image recognition; Image storage; Noise robustness; Object recognition; Packaging; Quaternions; Recycling;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007

Conference_Location

Morelos

Print_ISBN

978-0-7695-2974-5

Type

conf

DOI

10.1109/CERMA.2007.4367696

Filename

4367696