Pattern matching in a digitized image

Gad M. Landau, Uzi Vishkin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The continuous pattern matching problem is defined. Given are two pictures, each consisting of unicolor regions; one picture is called the scene and the other the pattern. The problem is to find all occurrences of the pattern in the scene. As a step towards efficient algorithmic handling of the continuous pattern matching problem by computers, where discretized representations are involved, we give several algorithms. Our strongest algorithmic result is for a one-dimensional version of the problem, where running time which is linear in the length of a digitized representation is achieved. The definitions of our problems are derived from a "digitized-based" approach to object recognition problems in computer vision, which is different from a common computer vision approach. The digitized based approach may lead towards further research within the discrete algorithms community on computer vision problems.

Original languageEnglish
Title of host publicationProceedings of the 3rd Annual ACM-SIAM Symposium on Discrete Algorithms. SODA 1992
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Electronic)089791466X
StatePublished - 1 Sep 1992
Externally publishedYes
Event3rd Annual ACM-SIAM Symposium on Discrete Algorithms. SODA 1992 - Orlando, United States
Duration: 27 Jan 199229 Jan 1992

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
VolumePart F129721


Conference3rd Annual ACM-SIAM Symposium on Discrete Algorithms. SODA 1992
Country/TerritoryUnited States

Bibliographical note

Funding Information:
“Dept. of Computer Science, Polytechnic University, 333 Jay Street, Brooklyn, NY 11201, (718) 260-3154, landau@pucs2.poly. edu; partially supported by NSF grant CCR-8908286.+ ‘Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742 (301) 405-6763, vishkin@uzisun.; and Tel Aviv University, Tel Aviv, Israel; partially supported by NSF grant CCR-8906949.+

ASJC Scopus subject areas

  • Software
  • General Mathematics


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