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On shrinking binary picture patterns
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Communications of the ACM archive
Volume 15 ,  Issue 1  (January 1972) table of contents
Pages: 7 - 10  
Year of Publication: 1972
ISSN:0001-0782
Author
S. Levialdi  Lab. di Cibernetica del C. N. R., Napoli, Italy
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 29,   Citation Count: 13
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ABSTRACT

A parallel processing algorithm for shrinking binary patterns to obtain single isolated elements, one for each pattern, is presented. This procedure may be used for counting patterns on a matrix, and a hardware implementation of the algorithm using large scale integrated tecnology is envisioned. The principal features of this method are the very small window employed (two-by-two elements), the parallel nature of the process, and the possibility of shrinking any pattern, regardless of the complexity of its configuration. Problems regarding merging and disconnection of patterns during the process as well as the determination of the maximum number of steps necessary to obtain a single isolated element from a pattern, are reviewed and discussed. An analogy with a neural network description, in terms of McCulloch-pitts “neurons” is presented.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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2
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Weston, P. Photocell field counts random objects. Electronics 34, 22 (Sept. 1961), 46-47.
 
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Heath, F.G. Large scale integration in electronics. Scientific American 222 (Feb. 1970), 22-31.
 
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10
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11
Levialdi, S. Parallel counting of binary patterns, Electronics Letters 6, (1970) 798-800.
 
12
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13
Caianiello, E.R. Outline of a theory of thought processes and thinking machines, J. Theoret. Biol. 1 (1961), 204-235.

CITED BY  13