Name: fuzzy filters for image processing (en Inglés)
Price: 243140.00 CLP
Availability: InStock
Author: Nachtegael, Mike ; Van Der Weken, Dietrich ; Van De Ville, Dimitri
ISBN: 9783642055911

portada fuzzy filters for image processing (en Inglés)

Formato

Libro Físico

Ilustrado por

Mike Nachtegael

Dietrich Van Der Weken

Dimitri Van De Ville

Editorial

Springer

Autor

Nachtegael, Mike ; Van Der Weken, Dietrich ; Van De Ville, Dimitri

Año

2010

Idioma

Inglés

N° páginas

386

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.1 cm

Peso

0.56 kg.

ISBN

3642055915

ISBN13

9783642055911

Categorías

Matemáticas aplicadas
Modelos y simulaciones por ordenador
Procesamiento de imágenes

fuzzy filters for image processing (en Inglés)

Mike Nachtegael (Ilustrado por) · Dietrich Van Der Weken (Ilustrado por) · Dimitri Van De Ville (Ilustrado por) · Springer · Tapa Blanda

Libro Nuevo

$ 243.140

$ 486.270

Ahorras: $ 243.130

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 05 de Junio y el Lunes 17 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "fuzzy filters for image processing (en Inglés)"

The ongoing increase in scale of integration of electronics makes storage and computational power affordable to many applications. Also image process- ing systems can benefit from this trend. A variety of algorithms for image processing tasks becomes close at hand. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. A particular useful property of fuzzy logic techniques is their ability to represent knowledge in a way which is comprehensible to human interpretation. The theory of fuzzy sets and fuzzy logic was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from mem- bership to nonmembership, providing partial degrees of membership. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. The present book resulted from the workshop "Fuzzy Filters for Image Processing" which was organized at the 10th FUZZ-IEEE Conference in Mel- bourne, Australia. At this event several speakers have given an overview of the current state-of-the-art of fuzzy filters for image processing. Afterwards, the book has been completed with contributions of other international re- searchers.