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Innovative applications of associative morphological memories for image processing and pattern recognition.

Manuel GrañaPeter SussnerGerhard Ritter — 2003

Mathware and Soft Computing

Morphological Associative Memories have been proposed for some image denoising applications. They can be applied to other less restricted domains, like image retrieval and hyperspectral image unsupervised segmentation. In this paper we present these applications. In both cases the key idea is that Autoassociative Morphological Memories selective sensitivity to erosive and dilative noise can be applied to detect the morphological independence between patterns. Linear unmixing based on the sets of...

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