Title :
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
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;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-2974-5
DOI :
10.1109/CERMA.2007.4367696
