Real-time analysis of small or low-contrast objects

Stephen R. Yool; Kirk G. Smedley; David Van Vactor

doi:10.1117/12.139367

Real-time analysis of small or low-contrast objects

Stephen R. Yool
, Kirk G. Smedley
, David Van Vactor

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

Abstract

Multi-frame, multi-spectral image sequences can be exploited in real-time, giving analysts access to information on evolving strategic events or threats. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low-contrast objects. Contrast-regulated unsharp masking enhances differentially-shadowed or otherwise low-contrast image regions. Real-time removal of localized hotspots may enhance resolution of adjacent objects. In image sequences contaminated by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. Image sequences can by screened automatically for low-frequency, high-magnitude events.

Original language	English (US)
Pages (from-to)	124-130
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1698
DOIs	https://doi.org/10.1117/12.139367
State	Published - Aug 25 1992
Externally published	Yes
Event	Signal and Data Processing of Small Targets 1992 - Orlando, United States Duration: Apr 20 1992 → …

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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10.1117/12.139367

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title = "Real-time analysis of small or low-contrast objects",

abstract = "Multi-frame, multi-spectral image sequences can be exploited in real-time, giving analysts access to information on evolving strategic events or threats. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low-contrast objects. Contrast-regulated unsharp masking enhances differentially-shadowed or otherwise low-contrast image regions. Real-time removal of localized hotspots may enhance resolution of adjacent objects. In image sequences contaminated by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. Image sequences can by screened automatically for low-frequency, high-magnitude events.",

author = "Yool, \{Stephen R.\} and Smedley, \{Kirk G.\} and \{Van Vactor\}, David",

note = "Publisher Copyright: {\textcopyright} 1992 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.; Signal and Data Processing of Small Targets 1992 ; Conference date: 20-04-1992",

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doi = "10.1117/12.139367",

language = "English (US)",

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TY - JOUR

T1 - Real-time analysis of small or low-contrast objects

AU - Yool, Stephen R.

AU - Smedley, Kirk G.

AU - Van Vactor, David

PY - 1992/8/25

Y1 - 1992/8/25

N2 - Multi-frame, multi-spectral image sequences can be exploited in real-time, giving analysts access to information on evolving strategic events or threats. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low-contrast objects. Contrast-regulated unsharp masking enhances differentially-shadowed or otherwise low-contrast image regions. Real-time removal of localized hotspots may enhance resolution of adjacent objects. In image sequences contaminated by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. Image sequences can by screened automatically for low-frequency, high-magnitude events.

AB - Multi-frame, multi-spectral image sequences can be exploited in real-time, giving analysts access to information on evolving strategic events or threats. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low-contrast objects. Contrast-regulated unsharp masking enhances differentially-shadowed or otherwise low-contrast image regions. Real-time removal of localized hotspots may enhance resolution of adjacent objects. In image sequences contaminated by zero-mean noise, real-time frame averaging can assist resolution and location of small or low-contrast objects. Image sequences can by screened automatically for low-frequency, high-magnitude events.

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DO - 10.1117/12.139367

M3 - Conference article

AN - SCOPUS:85075632149

SN - 0277-786X

VL - 1698

SP - 124

EP - 130

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

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

T2 - Signal and Data Processing of Small Targets 1992

Y2 - 20 April 1992

ER -

Real-time analysis of small or low-contrast objects

Abstract

ASJC Scopus subject areas

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