Boundary and object detection in real world images

  • Authors:
  • Yoram Yakimovsky

  • Affiliations:
  • Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

  • Venue:
  • IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1975

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Abstract

A solution to the problem of automatic location of objects in digital pictures by computer is presented. A self-scaling local edge detector which can be applied in parallel on a picture is described. Clustering algorithms and boundary following algorithms which are sequential in nature process the edge data to locate images of objects and generate data structure which represents the imaged objects.