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.
Image Recognition Processor based on Morphological Associative Memories
2007-09-01
697802 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories
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