Associative Memories Applied to Image Categorization

  • Roberto A. Vázquez
  • Humberto Sossa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)


In this paper we describe how associative memories can be applied to categorize images. If we present to an associative memory (AM) an image we would expect that the AM would respond with something that describes the content of the image; for example, if the image contains a tiger we would expect that the AM would respond with the word “tiger”. In order to achieve this goal, we first chose a set of images. Each image is next associated to the word that better describes the content of the image. With this information an AM is trained as in [10]. We then use the AM to categorize instances of images with the same content even if these images are distorted by some kind of noise. The accuracy of the proposal is tested using a set of images containing different species of flowers and animals.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Roberto A. Vázquez
    • 1
  • Humberto Sossa
    • 1
  1. 1.Centro de Investigación en Computación – IPNCiudad de MéxicoMéxico

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