Adaptive design of logical structure filters

Yidong Chen; Edward R. Dougherty

doi:10.1117/12.323456

Adaptive design of logical structure filters

Yidong Chen, Edward R. Dougherty

Producción científica: Conference article › revisión exhaustiva

Resumen

A binary granulometry is formed as a union of parameterized openings. It induces a reconstructive granulometry by passing image components it does not fully eliminate. Reconstructive granulometries have historically been formed as unions of reconstructive parameterized openings. The theory has been extended to the new class of logical structure filters (LSF) [1]. These are unions of intersections of both reconstructive and complementary reconstructive openings Reconstructive granulometries form the special class of disjunctive LSFs. This paper covers adaptive methods to design parameterized LSFs. A systematic formulation of adaptive transitions is given and applications are provided.

Idioma original	English (US)
Páginas (desde-hasta)	43-51
Número de páginas	9
Publicación	Proceedings of SPIE - The International Society for Optical Engineering
Volumen	3457
DOI	https://doi.org/10.1117/12.323456
Estado	Published - 1998
Publicado de forma externa	Sí
Evento	Mathematical Modeling and Estimation Techniques in Computer Vision - San Diego, CA, United States Duración: jul 22 1998 → jul 23 1998

ASJC Scopus subject areas

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

Acceder al documento

10.1117/12.323456

Otros archivos y enlaces

Citar esto

@article{6977597ac53146e3a7945e07b0ae505d,

title = "Adaptive design of logical structure filters",

abstract = "A binary granulometry is formed as a union of parameterized openings. It induces a reconstructive granulometry by passing image components it does not fully eliminate. Reconstructive granulometries have historically been formed as unions of reconstructive parameterized openings. The theory has been extended to the new class of logical structure filters (LSF) [1]. These are unions of intersections of both reconstructive and complementary reconstructive openings Reconstructive granulometries form the special class of disjunctive LSFs. This paper covers adaptive methods to design parameterized LSFs. A systematic formulation of adaptive transitions is given and applications are provided.",

keywords = "Adaptive filter, Granulometry, Mathematical morphology, Opening, Optimal filter",

author = "Yidong Chen and Dougherty, {Edward R.}",

year = "1998",

doi = "10.1117/12.323456",

language = "English (US)",

volume = "3457",

pages = "43--51",

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

issn = "0277-786X",

publisher = "SPIE",

note = "Mathematical Modeling and Estimation Techniques in Computer Vision ; Conference date: 22-07-1998 Through 23-07-1998",

}

TY - JOUR

T1 - Adaptive design of logical structure filters

AU - Chen, Yidong

AU - Dougherty, Edward R.

PY - 1998

Y1 - 1998

N2 - A binary granulometry is formed as a union of parameterized openings. It induces a reconstructive granulometry by passing image components it does not fully eliminate. Reconstructive granulometries have historically been formed as unions of reconstructive parameterized openings. The theory has been extended to the new class of logical structure filters (LSF) [1]. These are unions of intersections of both reconstructive and complementary reconstructive openings Reconstructive granulometries form the special class of disjunctive LSFs. This paper covers adaptive methods to design parameterized LSFs. A systematic formulation of adaptive transitions is given and applications are provided.

AB - A binary granulometry is formed as a union of parameterized openings. It induces a reconstructive granulometry by passing image components it does not fully eliminate. Reconstructive granulometries have historically been formed as unions of reconstructive parameterized openings. The theory has been extended to the new class of logical structure filters (LSF) [1]. These are unions of intersections of both reconstructive and complementary reconstructive openings Reconstructive granulometries form the special class of disjunctive LSFs. This paper covers adaptive methods to design parameterized LSFs. A systematic formulation of adaptive transitions is given and applications are provided.

KW - Adaptive filter

KW - Granulometry

KW - Mathematical morphology

KW - Opening

KW - Optimal filter

UR - http://www.scopus.com/inward/record.url?scp=0032404467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032404467&partnerID=8YFLogxK

U2 - 10.1117/12.323456

DO - 10.1117/12.323456

M3 - Conference article

AN - SCOPUS:0032404467

SN - 0277-786X

VL - 3457

SP - 43

EP - 51

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

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

T2 - Mathematical Modeling and Estimation Techniques in Computer Vision

Y2 - 22 July 1998 through 23 July 1998

ER -

Adaptive design of logical structure filters

Resumen

ASJC Scopus subject areas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto