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题名/责任者:

Statistical image processing techniques for noisy images : an application-oriented approach / Franis Goudail, Philippe Rrier, Fresnel Institute, ENSPM, Marseille, France.

出版发行项:

New York : Springer, 2004.

ISBN:

9781461346920

载体形态项:

xiii, 254 pages ; 24 cm

个人责任者:

Goudail, Francois, author.

附加个人名称:

R閳媐r閳媑ier, Philippe, author.

论题主题:

Image processing-Statistical methods.

论题主题:

Computer graphics.

论题主题:

Remote sensing.

论题主题:

Electronic Data Processing

论题主题:

Computer Graphics

论题主题:

Remote Sensing Technology

论题主题:

Traitement d'images-M閳媡hodes statistiques.

论题主题:

Informatique.

论题主题:

Infographie.

论题主题:

T閳媗閳媎閳媡ection.

论题主题:

computer graphics.

论题主题:

image processing.

论题主题:

remote sensing.

论题主题:

Image processing-Statistical methods

中图法分类号:

TP391.41

一般附注:

"Originally published by Kluwer Academic/Plenum Publishers, New York, 2004."

书目附注:

Includes bibliographical references and index.

摘要附注:

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.

语种附注:

English.

豆瓣简介：