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Analysis of oriented texture :with a...
~
Ayres, Fabio Jose,1975-
Analysis of oriented texture :with applications to the detection of architectural distortion in mammograms /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Analysis of oriented texture :/ Fabio J. Ayres, Rangaraj M. Rangayyan, and J.E. Leo Desautels.
Reminder of title:
with applications to the detection of architectural distortion in mammograms /
Author:
Ayres, Fabio Jose,
other author:
Rangayyan, Rangaraj M.
Published:
[San Rafael, Calif.] :Morgan & Claypool Publishers,c2011.
Description:
xi, 150 p. :ill., ports. ;24 cm.
Subject:
Image analysis - Mathematics. -
ISBN:
9781608450299 (pbk.) :
ISBN:
1608450295 (pbk.)
ISBN:
9781608450305 (ebook)
ISBN:
1608450309 (ebook)
Analysis of oriented texture :with applications to the detection of architectural distortion in mammograms /
Ayres, Fabio Jose,1975-
Analysis of oriented texture :
with applications to the detection of architectural distortion in mammograms /Fabio J. Ayres, Rangaraj M. Rangayyan, and J.E. Leo Desautels. - [San Rafael, Calif.] :Morgan & Claypool Publishers,c2011. - xi, 150 p. :ill., ports. ;24 cm. - Synthesis lectures on biomedical engineering,#381930-0328 ;. - Synthesis lectures on biomedical engineering..
Includes bibliographical references and index.
1. Detection of oriented features in images -- 2. Analysis of oriented patterns using phase portraits -- 3. Optimization techniques -- 4. Detection of sites of architectural distortion in mammograms -- A. Computer-aided diagnosis of breast cancer -- B. Event detection in medical images.
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.
ISBN: 9781608450299 (pbk.) :NT1227Subjects--Topical Terms:
187278
Image analysis
--Mathematics.
LC Class. No.: TA1637 / .A97 2011
Dewey Class. No.: 618.1907572
National Library of Medicine Call No.: WP 815
Analysis of oriented texture :with applications to the detection of architectural distortion in mammograms /
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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.
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Mathematics.
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Digital techniques.
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Radiographic Image Interpretation, Computer-Assisted
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Rangayyan, Rangaraj M.
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Desautels, J. E. Leo.
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Synthesis lectures on biomedical engineering.
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0 based onreview(s)
Location:
全部
六樓西文書庫 (6th Floor-Western Books)
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Barcode Number
Location Name
Item Class
Material type
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Usage Class
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No. of reservations
Opac note
Attachments
E15284
六樓西文書庫 (6th Floor-Western Books)
一般借閱
外文書
* 618.1907572 A985 2011
一般(Normal)
On shelf
0
5030000-0990024
1 records • Pages 1 •
1
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