Boundary and Object Detection in Real World Images | Zendy

Y. Yakimovsky | Zendy

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Boundary and Object Detection in Real World Images

Author(s) -

Y. Yakimovsky

Publication year - 1976

Publication title -

journal of the acm

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.672

H-Index - 134

eISSN - 1557-735X

pISSN - 0004-5411

DOI - 10.1145/321978.321981

Subject(s) - computer science , artificial intelligence , boundary (topology) , computer vision , object (grammar) , edge detection , cluster analysis , enhanced data rates for gsm evolution , process (computing) , scaling , object detection , digital image , image (mathematics) , pattern recognition (psychology) , algorithm , image processing , mathematics , geometry , mathematical analysis , operating system

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.

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