Two approaches to multiple specular echo detection using split spectrum processing: moving bandwidth minimization and mathematical morphology.

Abstract:

:A split spectrum processing technique using a novel moving bandwidth minimization (MBM) method was developed to detect multiple specular targets having different spectral characteristics. Mathematical morphology (MM) algorithms were also implemented in order to compare the results. An experimental approach to optimal parameter determination is described. These non-linear filtering methods are applied to medical in vivo imaging to illustrate specular detection and signal to noise ratio (SNR) enhancement.

journal_name

Ultrasonics

journal_title

Ultrasonics

authors

Grevillot M,Cudel C,Meyer JJ,Jacquey S

doi

10.1016/s0041-624x(99)00024-4

subject

Has Abstract

pub_date

1999-09-01 00:00:00

pages

417-22

issue

6

eissn

0041-624X

issn

1874-9968

pii

S0041-624X(99)00024-4

journal_volume

37

pub_type

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