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
Personal Author(s) : Nurre, Joseph H. ; Whitestone, Jennifer J. ; Hoffmeister, Jeffrey W. ; Burnsides, Dennis B.
PDF Url : ADA301442
Report Date : MAR 1995
Pagination or Media Count : 75
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)
Descriptors : *IMAGE PROCESSING, *DATA MANAGEMENT, *IMPULSE NOISE, SCANNING, DATA BASES, ALGORITHMS, SOFTWARE ENGINEERING, OPTIMIZATION, COMPUTER AIDED DESIGN, MORPHOLOGY, RESOLUTION, SIGNAL TO NOISE RATIO, SURFACE ROUGHNESS, LASER BEAMS, TOPOGRAPHY, LASER APPLICATIONS, MATHEMATICAL FILTERS, NONLINEAR SYSTEMS, COMPUTER GRAPHICS, NONLINEAR ANALYSIS, NOISE REDUCTION, PIXELS, HEAD(ANATOMY), IMAGE RESTORATION.
Subject Categories : Cybernetics
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE