Fast variational algorithm for clutter removal through pyramidal domain decomposition

Lenny RUDIN; Frederick NORDBY; George KOEPFLER; Jean Michel MOREL

doi:10.1117/12.167536

Fast variational algorithm for clutter removal through pyramidal domain decomposition

Lenny RUDIN, Frederick NORDBY, George KOEPFLER, Jean Michel MOREL

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (invited)

2 Citations (Scopus)

Abstract

Recent work has proven the feasibility and utility of 2-Normal segmentation as an image analysis tool. This technique, and the algorithm on which it is based, have shown dramatic and promising results for a number of image processing problems, such as clutter suppression, texture segmentation, motion analysis and object tracking. These capacities will be useful for clutter suppression, target location and classification, platform motion compensation, target tracking, vehicle guidance, battlefield mapping and target damage assessment. These and all applications of 2-Normal segmentation could easily employ and integrate multi-sensor data and /or multi-scale image preprocessing for analysis in two dimensions, three dimensions, or time sequence.

Original language	English
Title of host publication	Proceedings of Chaos/Nonlinear Dynamics: Methods and Commercialization
Editors	Helena S. WISNIEWSKI
Publisher	SPIE
Pages	2-22
Number of pages	21
Volume	2037
DOIs	https://doi.org/10.1117/12.167536
Publication status	Published - 1 Mar 1994
Externally published	Yes
Event	SPIE's 1993 International Symposium on Optics, Imaging and Instrumentation - San Diego, United States Duration: 11 Jul 1993 → 16 Jul 1993

Symposium

Symposium	SPIE's 1993 International Symposium on Optics, Imaging and Instrumentation
Country/Territory	United States
City	San Diego
Period	11/07/93 → 16/07/93

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10.1117/12.167536

Cite this

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title = "Fast variational algorithm for clutter removal through pyramidal domain decomposition",

abstract = "Recent work has proven the feasibility and utility of 2-Normal segmentation as an image analysis tool. This technique, and the algorithm on which it is based, have shown dramatic and promising results for a number of image processing problems, such as clutter suppression, texture segmentation, motion analysis and object tracking. These capacities will be useful for clutter suppression, target location and classification, platform motion compensation, target tracking, vehicle guidance, battlefield mapping and target damage assessment. These and all applications of 2-Normal segmentation could easily employ and integrate multi-sensor data and /or multi-scale image preprocessing for analysis in two dimensions, three dimensions, or time sequence.",

author = "Lenny RUDIN and Frederick NORDBY and George KOEPFLER and MOREL, \{Jean Michel\}",

year = "1994",

month = mar,

day = "1",

doi = "10.1117/12.167536",

language = "English",

volume = "2037",

pages = "2--22",

editor = "WISNIEWSKI, \{Helena S.\}",

booktitle = "Proceedings of Chaos/Nonlinear Dynamics: Methods and Commercialization",

publisher = "SPIE",

address = "United States",

note = "SPIE's 1993 International Symposium on Optics, Imaging and Instrumentation ; Conference date: 11-07-1993 Through 16-07-1993",

}

RUDIN, L, NORDBY, F, KOEPFLER, G & MOREL, JM 1994, Fast variational algorithm for clutter removal through pyramidal domain decomposition. in HS WISNIEWSKI (ed.), Proceedings of Chaos/Nonlinear Dynamics: Methods and Commercialization. vol. 2037, SPIE, pp. 2-22, SPIE's 1993 International Symposium on Optics, Imaging and Instrumentation, San Diego, California, United States, 11/07/93. https://doi.org/10.1117/12.167536

Fast variational algorithm for clutter removal through pyramidal domain decomposition. / RUDIN, Lenny; NORDBY, Frederick; KOEPFLER, George et al.
Proceedings of Chaos/Nonlinear Dynamics: Methods and Commercialization. ed. / Helena S. WISNIEWSKI. Vol. 2037 SPIE, 1994. p. 2-22.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (invited)

TY - CHAP

T1 - Fast variational algorithm for clutter removal through pyramidal domain decomposition

AU - RUDIN, Lenny

AU - NORDBY, Frederick

AU - KOEPFLER, George

AU - MOREL, Jean Michel

PY - 1994/3/1

Y1 - 1994/3/1

N2 - Recent work has proven the feasibility and utility of 2-Normal segmentation as an image analysis tool. This technique, and the algorithm on which it is based, have shown dramatic and promising results for a number of image processing problems, such as clutter suppression, texture segmentation, motion analysis and object tracking. These capacities will be useful for clutter suppression, target location and classification, platform motion compensation, target tracking, vehicle guidance, battlefield mapping and target damage assessment. These and all applications of 2-Normal segmentation could easily employ and integrate multi-sensor data and /or multi-scale image preprocessing for analysis in two dimensions, three dimensions, or time sequence.

AB - Recent work has proven the feasibility and utility of 2-Normal segmentation as an image analysis tool. This technique, and the algorithm on which it is based, have shown dramatic and promising results for a number of image processing problems, such as clutter suppression, texture segmentation, motion analysis and object tracking. These capacities will be useful for clutter suppression, target location and classification, platform motion compensation, target tracking, vehicle guidance, battlefield mapping and target damage assessment. These and all applications of 2-Normal segmentation could easily employ and integrate multi-sensor data and /or multi-scale image preprocessing for analysis in two dimensions, three dimensions, or time sequence.

UR - https://www.scopus.com/pages/publications/0006514378

U2 - 10.1117/12.167536

DO - 10.1117/12.167536

M3 - Conference paper (invited)

AN - SCOPUS:0006514378

VL - 2037

SP - 2

EP - 22

BT - Proceedings of Chaos/Nonlinear Dynamics: Methods and Commercialization

A2 - WISNIEWSKI, Helena S.

PB - SPIE

T2 - SPIE's 1993 International Symposium on Optics, Imaging and Instrumentation

Y2 - 11 July 1993 through 16 July 1993

ER -

Fast variational algorithm for clutter removal through pyramidal domain decomposition

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