Morphological filters and wavelet based image fusion for concealed weapons detection

Liane C. Ramac; Mucahit K. Uner; Pramod K. Varshney; Mark Alford; Dave Ferris

doi:10.1117/12.303671

Morphological filters and wavelet based image fusion for concealed weapons detection

Liane C. Ramac, Mucahit K. Uner, Pramod K. Varshney, Mark Alford, Dave Ferris

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Conference Article › peer-review

40 Scopus citations

Abstract

Morphological filters are used in conjunction with wavelets to improve the recognition performance after fusion. After morphological filtering, wavelets are used to construct multiresolution representations of the source images. Once the source images are decomposed, the details are combined to form a composite decomposed image. This method allows details at different levels to be combined independently so that important information is maintained in the final composite image.

Original language	English (US)
Pages (from-to)	110-119
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3376
DOIs	https://doi.org/10.1117/12.303671
State	Published - 1998
Event	Sensor Fusion: Architectures, Algorithms and Applications II - Orlando, FL, United States Duration: Apr 16 1998 → Apr 17 1998

Keywords

Image fusion
Mathematical morphology
Wavelets

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.303671

Cite this

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title = "Morphological filters and wavelet based image fusion for concealed weapons detection",

abstract = "Morphological filters are used in conjunction with wavelets to improve the recognition performance after fusion. After morphological filtering, wavelets are used to construct multiresolution representations of the source images. Once the source images are decomposed, the details are combined to form a composite decomposed image. This method allows details at different levels to be combined independently so that important information is maintained in the final composite image.",

keywords = "Image fusion, Mathematical morphology, Wavelets",

author = "Ramac, {Liane C.} and Uner, {Mucahit K.} and Varshney, {Pramod K.} and Mark Alford and Dave Ferris",

year = "1998",

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pages = "110--119",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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T1 - Morphological filters and wavelet based image fusion for concealed weapons detection

AU - Ramac, Liane C.

AU - Uner, Mucahit K.

AU - Varshney, Pramod K.

AU - Alford, Mark

AU - Ferris, Dave

PY - 1998

Y1 - 1998

N2 - Morphological filters are used in conjunction with wavelets to improve the recognition performance after fusion. After morphological filtering, wavelets are used to construct multiresolution representations of the source images. Once the source images are decomposed, the details are combined to form a composite decomposed image. This method allows details at different levels to be combined independently so that important information is maintained in the final composite image.

AB - Morphological filters are used in conjunction with wavelets to improve the recognition performance after fusion. After morphological filtering, wavelets are used to construct multiresolution representations of the source images. Once the source images are decomposed, the details are combined to form a composite decomposed image. This method allows details at different levels to be combined independently so that important information is maintained in the final composite image.

KW - Image fusion

KW - Mathematical morphology

KW - Wavelets

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DO - 10.1117/12.303671

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EP - 119

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Sensor Fusion: Architectures, Algorithms and Applications II

Y2 - 16 April 1998 through 17 April 1998

ER -

Morphological filters and wavelet based image fusion for concealed weapons detection

Abstract

Keywords

ASJC Scopus subject areas

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