Border delineation in image pyramids by concurrent tree growing

Jean Michel Jolion, Peter Meer, Azriel Rosenfeld

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A new method for delineation of compact objects in image pyramids is presented. The borders of the objects are detected in a low resolution representation of the input, a higher level of the pyramids of the pixels on the two sides of an edge are the roots for two classes (object and background). The two classes are employed in two independent top-down tree growing processes. The information is passed downward by adjusting confidence measures. The employment of multiple roots defined on the smoothed representation of the input contributes to the robustness of the method at very low signal-to-noise ratios.

Original languageEnglish (US)
Pages (from-to)107-115
Number of pages9
JournalPattern Recognition Letters
Volume11
Issue number2
DOIs
StatePublished - Feb 1990

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Keywords

  • Image pyramids
  • feature extraction
  • multiresolution methods
  • noise smoothing

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