Removing Impulse Noise from Human Head Scan Data.

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)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA301442

Entities

People

  • Dennis B. Burnsides
  • Jeffrey W. Hoffmeister
  • Jennifer J. Whitestone
  • Joseph H. Nurre

Organizations

  • Ohio University

Tags

Communities of Interest

  • Advanced Electronics
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Charge Coupled Devices
  • Computer-Aided Design
  • Coordinate Systems
  • Databases
  • Ear
  • Epidermis
  • Geometric Forms
  • Human Factors Engineering
  • Identification
  • Image Processing
  • Impulse Noise
  • Light Sources
  • Lines (Geometry)
  • Medical Personnel
  • Noise
  • Three Dimensional

Readers

  • Approximation Theory.
  • Phased Array Antenna Design.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Directed Energy