Accession Number:

ADA301442

Title:

Removing Impulse Noise from Human Head Scan Data.

Descriptive Note:

Interim rept. Sep 93-Jun 94,

Corporate Author:

OHIO UNIV ATHENS DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Report Date:

1995-03-01

Pagination or Media Count:

75.0

Abstract:

This report presents a mathematical morphological filtering technique to eliminate impulse noise from human head surface data generated by laser surface scanning technologies. In the area of image processing, mathematical morphology refers-to a branch of nonlinear filters which use geometric form and structure to alter a signal. Several structuring elements were investigated with a spherical structuring element being selected as the best candidate. A spherical element is the ideal shape since protruding shapes like spikes on the human head are best removed using a structuring element that has an omni-directional behavior. A spherical structuring element having a radius of 3.Omm to 3.5mm represented the best trade-off between identification of impulse noise and loss of good data points. AN

Subject Categories:

  • Cybernetics
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE