Overview of adaptive morphology: trends and perspectives

  • Authors:
  • Petros Maragos;Corinne Vachier

  • Affiliations:
  • School of E.C.E., National Technical University of Athens, Athens, Greece;CMLA, ENS Cachan, CNRS, PRES UniverSud, Cachan, France

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

In this paper we briefly overview emerging trends in 'Adaptive Morphology', i.e. work related to the theory and/or applications of image analysis filters, systems, or algorithms based on mathematical morphology, that are adaptive w.r.t. to space or intensity or use any other adaptive scheme. We present a new classification of work in this area structured along several major theoretical perspectives. We then sample specific approaches that develop spatially-variant structuring elements or intensity level-adaptive operators, modeled and implemented either via conventional nonlinear digital filtering or via geometric PDEs. Finally, we discuss some applications.