Nested random phase sequence sets: A link between AM-FM demodulation and increasing operators with application to cardiac image analysis

Rodriguez V. Paul; Marios S. Pattichis

Nested random phase sequence sets: A link between AM-FM demodulation and increasing operators with application to cardiac image analysis

Rodriguez V. Paul
, Marios S. Pattichis

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

AM-FM models images as a linear combination of positive amplitude modulated (AM) sinusoids with non-linear phase functions. In this paper, we develop a novel FM harmonics operator for revealing different levels of image structure detail. The new operator is defined in terms of known AM-FM demodulation techniques: dominant component analysis and channelized component analysis. We also show an example of image segmentation, where the new operator is used for tracking cardiac wall boundaries in Motion-mode (M-mode) ultrasound video.

Idioma original	Inglés
Páginas	196-200
Número de páginas	5
Estado	Publicada - 2004
Publicado de forma externa	Sí
Evento	2004 IEEE Southwest Symposium on Image Analysis and Interpretation - Lake Tahoe, NV, Estados Unidos Duración: 28 mar. 2004 → 30 mar. 2004

Conferencia

Conferencia	2004 IEEE Southwest Symposium on Image Analysis and Interpretation
País/Territorio	Estados Unidos
Ciudad	Lake Tahoe, NV
Período	28/03/04 → 30/03/04

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title = "Nested random phase sequence sets: A link between AM-FM demodulation and increasing operators with application to cardiac image analysis",

abstract = "AM-FM models images as a linear combination of positive amplitude modulated (AM) sinusoids with non-linear phase functions. In this paper, we develop a novel FM harmonics operator for revealing different levels of image structure detail. The new operator is defined in terms of known AM-FM demodulation techniques: dominant component analysis and channelized component analysis. We also show an example of image segmentation, where the new operator is used for tracking cardiac wall boundaries in Motion-mode (M-mode) ultrasound video.",

author = "Paul, \{Rodriguez V.\} and Pattichis, \{Marios S.\}",

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Nested random phase sequence sets: A link between AM-FM demodulation and increasing operators with application to cardiac image analysis. / Paul, Rodriguez V.; Pattichis, Marios S.
2004. 196-200 Papel presentado en 2004 IEEE Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, NV, Estados Unidos.

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

TY - CONF

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T2 - 2004 IEEE Southwest Symposium on Image Analysis and Interpretation

AU - Paul, Rodriguez V.

AU - Pattichis, Marios S.

PY - 2004

Y1 - 2004

N2 - AM-FM models images as a linear combination of positive amplitude modulated (AM) sinusoids with non-linear phase functions. In this paper, we develop a novel FM harmonics operator for revealing different levels of image structure detail. The new operator is defined in terms of known AM-FM demodulation techniques: dominant component analysis and channelized component analysis. We also show an example of image segmentation, where the new operator is used for tracking cardiac wall boundaries in Motion-mode (M-mode) ultrasound video.

AB - AM-FM models images as a linear combination of positive amplitude modulated (AM) sinusoids with non-linear phase functions. In this paper, we develop a novel FM harmonics operator for revealing different levels of image structure detail. The new operator is defined in terms of known AM-FM demodulation techniques: dominant component analysis and channelized component analysis. We also show an example of image segmentation, where the new operator is used for tracking cardiac wall boundaries in Motion-mode (M-mode) ultrasound video.

UR - https://www.scopus.com/pages/publications/2942527728

M3 - Paper

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Y2 - 28 March 2004 through 30 March 2004

ER -

Nested random phase sequence sets: A link between AM-FM demodulation and increasing operators with application to cardiac image analysis

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