Computing Multi-Colored Polygonal Masks in Pipeline Architecture and Its Application to Automated Visual Inspection

Jorge L.C. Sanz, Its'hak Dinstein, Dragutin Petkovic

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

New techniques for computing multicolored polygonal masks for image analysis and computer vision applications are presented. The procedures do not require random access of the image memory. They are based on efficient generation of coordinate-reference images (ramps) and other simple general purpose architectural features such as look-up tables. The techniques presented are, unlike their predecessors, highly parallel and can be efficiently implemented in existing pipeline image processors. In addition, we show an architecture in the form of functional building blocks that will enable us to compute polygonal and other masks much faster than commercially available pipeline systems. Extensive motivation and use of the new algorithms for digital visual inspection applications are given throughout.

Original languageEnglish
Pages (from-to)318-329
Number of pages12
JournalCommunications of the ACM
Volume30
Issue number4
DOIs
StatePublished - 1 Apr 1987
Externally publishedYes

Keywords

  • computer vision
  • image processing

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