Application of an Associative Memory to the Analysis of Document Fax Images
Simon O’Keefe, J. Austin · 1994
An essential part of image analysis is the identification of objects within the image. This paper describes the results of applying a binary associative memory neural network (ADAM), to the complex task of identifying shapes in document images. The associative memory is used to implement the generalised Hough Transform, exploiting the fast look-up ability of the associative memory to give a high-speed image analysis tool.