ON APPLICATIONS OF MULTI-COLORED POLYGONAL MASKS AND THEIR COMPUTATION IN IMAGE PROCESSING PIPELINE ARCHITECTURES.

D. Petkovic, J. Sanz, I. Dinstein

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

1 Scopus citations

Abstract

The authors describe efficient ways of computing digital multicolor polygonal masks in general-purpose pipeline processors and then present their applications in typical digital visual inspection tasks. Polygonal color mask computation is based on efficient computation of coordinate-reference gray-level images (ramps) and other simple general-purpose architectural features such as pixel-by-pixel logical operations and lookup tables. These procedures are highly parallel and can be efficiently implemented in pipeline processors. In addition, some parallel hardware can dramatically increase the efficiency of implementation. Applications of these color masks are discussed, namely, position-dependent segmentation and computation of accurate pixel or object position with respect to user-defined zones. The proposed algorithms offer accuracy, efficiency in pipeline processors, and flexibility. They are also attractive for software-based implementation.

Original languageEnglish
Title of host publicationIEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Ma
PublisherIEEE
Pages320-327
Number of pages8
ISBN (Print)0818606622
StatePublished - 1 Dec 1985
Externally publishedYes

Publication series

NameIEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Ma

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