New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

V. F. Kravchenko; V. I. Ponomarev; V. I. Pustovojt; L. Nino-de-Rivera

New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

V. F. Kravchenko, V. I. Ponomarev, V. I. Pustovojt, L. Nino-de-Rivera

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

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

1 Cita (Scopus)

Resumen

Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.

Idioma original	Inglés
Páginas (desde-hasta)	76-83
Número de páginas	8
Publicación	Radiotekhnika i Elektronika
Volumen	47
N.º	1
Estado	Publicada - 2002

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

@article{b55222c381444b8aa621b97d51923733,

title = "New robust nonlinear image-filtering algorithms preserving small features in the presence of noise",

abstract = "Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.",

author = "Kravchenko, {V. F.} and Ponomarev, {V. I.} and Pustovojt, {V. I.} and L. Nino-de-Rivera",

year = "2002",

language = "Ingl{\'e}s",

volume = "47",

pages = "76--83",

journal = "Radiotekhnika i Elektronika",

issn = "0033-8494",

number = "1",

}

TY - JOUR

T1 - New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

AU - Kravchenko, V. F.

AU - Ponomarev, V. I.

AU - Pustovojt, V. I.

AU - Nino-de-Rivera, L.

PY - 2002

Y1 - 2002

N2 - Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.

AB - Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.

UR - http://www.scopus.com/inward/record.url?scp=0036035802&partnerID=8YFLogxK

M3 - Artículo

SN - 0033-8494

VL - 47

SP - 76

EP - 83

JO - Radiotekhnika i Elektronika

JF - Radiotekhnika i Elektronika

IS - 1

ER -

New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

Resumen

Otros archivos y enlaces

Huella

Citar esto