Analysis of Oriented Texture with application to the Detection of Architectural Distortion in Mammograms (Record no. 85966)

000 -LEADER
fixed length control field 03751nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-01647-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164900.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2011 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031016479
-- 978-3-031-01647-9
082 04 - CLASSIFICATION NUMBER
Call Number 620
100 1# - AUTHOR NAME
Author Ayres, Fábio J.
245 10 - TITLE STATEMENT
Title Analysis of Oriented Texture with application to the Detection of Architectural Distortion in Mammograms
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2011.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 150 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Biomedical Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Detection of Oriented Features in Images -- Analysis of Oriented Patterns Using Phase Portraits -- Optimization Techniques -- Detection of Sites of Architectural Distortion in Mammograms.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Rangayyan, Rangaraj M.
700 1# - AUTHOR 2
Author 2 Desautels, J. E. Leo.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01647-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2011.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Technology and Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1930-0336
912 ## -
-- ZDB-2-SXSC

No items available.