Knowledge-based line-correction rules in a machine-vision system for the leather industry

Attila Lerch, Dmitry Chetverikov

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

LeaVis (for Leather Vision) is a machine-vision system that provides visual input for a CAD system used in the leather industry. It has recently been developed in the Computer Vision and Robotics Laboratory of the Computer and Automation Institute. Its task is to process and segment images of hides that are manually marked by lines and other symbols. A key feature of the vision system is its ability to correct line drawings by connecting broken lines and bridging gaps in line junctions. The correction is guided by a set of knowledge-based rules that allow the program to handle the contours in a consistent way. The paper gives an overview of LeaVis and discusses the mechanism of line correction in more detail.

Original languageEnglish
Pages (from-to)433-438
Number of pages6
JournalEngineering Applications of Artificial Intelligence
Volume4
Issue number6
DOIs
Publication statusPublished - 1991

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Keywords

  • Image analysis
  • industrial application
  • knowledge-based rules
  • line correction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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