Name: Analysis of Oriented Texture with Application to the Detection of Architectural Distortion in Mammograms (en Inglés)
Price: 46980.00 CLP
Availability: InStock
Author: Ayres, Fábio J. ; Rangayyan, Rangaraj M. ; Desautels, J. E. Leo
ISBN: 9783031005190

portada Analysis of Oriented Texture with Application to the Detection of Architectural Distortion in Mammograms (en Inglés)

Formato

Libro Físico

Autor

Fábio J. Ayres

Rangaraj M. Rangayyan

J. E. Leo Desautels

Editorial

Springer

Idioma

Inglés

N° páginas

150

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 0.9 cm

Peso

0.30 kg.

ISBN13

9783031005190

N° edición

Categorías

Ingeniería biomédica
Biofísica
Biotecnología

Analysis of Oriented Texture with Application to the Detection of Architectural Distortion in Mammograms (en Inglés)

Fábio J. Ayres (Autor) · Rangaraj M. Rangayyan (Autor) · J. E. Leo Desautels (Autor) · Springer · Tapa Blanda

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Reseña del libro "Analysis of Oriented Texture with Application to the Detection of Architectural Distortion in Mammograms (en Inglés)"

The presence of oriented features in images often conveys important information about the scene or the objects contained; the analysis of oriented patterns is an important task in the general framework of image understanding. As in many other applications of computer vision, the general framework for the understanding of oriented features in images can be divided into low- and high-level analysis. In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the entire region of analysis in the image is called the orientation field. High-level analysis relates to the discovery of patterns in the orientation field, usually by associating the structure perceived in the orientation field with a geometrical model. This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields. In order to illustrate the concepts developed throughout the book, an application is presented of the phase portrait method to computer-aided detection of architectural distortion in mammograms. Table of Contents: Detection of Oriented Features in Images / Analysis of Oriented Patterns Using Phase Portraits / Optimization Techniques / Detection of Sites of Architectural Distortion in Mammograms