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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 /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Analysis of oriented texture :/ Fabio J. Ayres, Rangaraj M. Rangayyan, and J.E. Leo Desautels.
其他題名:	with applications to the detection of architectural distortion in mammograms /
作者:	Ayres, Fabio Jose,
其他作者:	Rangayyan, Rangaraj M.
出版者:	[San Rafael, Calif.] :Morgan & Claypool Publishers,c2011.
面頁冊數:	xi, 150 p. :ill., ports. ;24 cm.
標題:	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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008 110503s2011 cauac b 001 0 eng
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020 $a 1608450295 (pbk.)
020 $a 9781608450305 (ebook)
020 $a 1608450309 (ebook)
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040 $a NLM $c NLM $d UAB $d BTCTA $d YDXCP $d UUS $d CIN
042 $a pcc
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060 1 0 $a WP 815
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100 1 $a Ayres, Fabio Jose, $d 1975- $3 187275
245 1 0 $a Analysis of oriented texture : $b with applications to the detection of architectural distortion in mammograms / $c Fabio J. Ayres, Rangaraj M. Rangayyan, and J.E. Leo Desautels.
260 $a [San Rafael, Calif.] : $b Morgan & Claypool Publishers, $c c2011.
300 $a xi, 150 p. : $b ill., ports. ; $c 24 cm.
490 1 $a Synthesis lectures on biomedical engineering, $x 1930-0328 ; $v #38
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a 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.
650 0 $a Image analysis $x Mathematics. $3 187278
650 0 $a Signal processing $x Digital techniques. $3 146984
650 0 $a Image processing $x Digital techniques. $3 148674
650 0 $a Breast $x Radiography. $3 187279
650 0 $a Breast $x Cancer $x Diagnosis $x Data processing. $3 187280
650 1 2 $a Mammography $x methods. $3 187281
650 2 2 $a Breast Neoplasms $x radiography. $3 187282
650 2 2 $a Radiographic Image Interpretation, Computer-Assisted $x methods. $3 187283
650 2 2 $a Signal Processing, Computer-Assisted. $3 187284
700 1 $a Rangayyan, Rangaraj M. $3 168491
700 1 $a Desautels, J. E. Leo. $3 187276
830 0 $a Synthesis lectures on biomedical engineering. $3 187277