Pyramid cluster detection and delineation by consensus

  • Authors:
  • C. Allen Sher;Azriel Rosenfeld

  • Affiliations:
  • -;-

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1991

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Abstract

Pyramid algorithms for compact region detection and delineation can be used to detect compact dot clusters on a sparsely dotted background. When the delineation process is applied to a detected cluster, it yields 'ragged' results which are sensitive to the position of the cluster in the image. But if the process is applied to a set of shifted versions of the cluster, the results can be combined into an acceptable delineation. This illustrates a general 'consensus' approach to combining multiple techniques, or multiple versions of the same technique, to obtain more reliable results.