Two approaches to multiple specular echo detection using split spectrum processing: moving bandwidth minimization and mathematical morphology.
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.
Grevillot
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LAB, EL, Equipe EEA, Université de Haute Alsace, Mulhouse, France. m.grevillot@univ-mulhouse.fr
Cudel
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C
Meyer
J J
JJ
Jacquey
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S
D000465:Algorithms; D000703:Analog-Digital Conversion; D016477:Artifacts; D001842:Bone and Bones / Q000000981:diagnostic imaging; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D012867:Skin / Q000000981:diagnostic imaging; D014465:Ultrasonics; D014463:Ultrasonography / Q000379:methods*