000 | 03751nam a22005295i 4500 | ||
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001 | 978-3-031-01647-9 | ||
003 | DE-He213 | ||
005 | 20240730164900.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2011 sz | s |||| 0|eng d | ||
020 |
_a9783031016479 _9978-3-031-01647-9 |
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024 | 7 |
_a10.1007/978-3-031-01647-9 _2doi |
|
050 | 4 | _aT1-995 | |
072 | 7 |
_aTBC _2bicssc |
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072 | 7 |
_aTEC000000 _2bisacsh |
|
072 | 7 |
_aTBC _2thema |
|
082 | 0 | 4 |
_a620 _223 |
100 | 1 |
_aAyres, Fábio J. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _986504 |
|
245 | 1 | 0 |
_aAnalysis of Oriented Texture with application to the Detection of Architectural Distortion in Mammograms _h[electronic resource] / _cby Fábio J Ayres, Rangaraj M Rangayyan, J. E. Leo Desautels. |
250 | _a1st ed. 2011. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2011. |
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300 |
_aXII, 150 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 |
|
505 | 0 | _aDetection of Oriented Features in Images -- Analysis of Oriented Patterns Using Phase Portraits -- Optimization Techniques -- Detection of Sites of Architectural Distortion in Mammograms. | |
520 | _aThe 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. | ||
650 | 0 |
_aEngineering. _99405 |
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650 | 0 |
_aBiophysics. _94093 |
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650 | 0 |
_aBiomedical engineering. _93292 |
|
650 | 1 | 4 |
_aTechnology and Engineering. _986505 |
650 | 2 | 4 |
_aBiophysics. _94093 |
650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
700 | 1 |
_aRangayyan, Rangaraj M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _986506 |
|
700 | 1 |
_aDesautels, J. E. Leo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _986508 |
|
710 | 2 |
_aSpringerLink (Online service) _986509 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031005190 |
776 | 0 | 8 |
_iPrinted edition: _z9783031027758 |
830 | 0 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 _986511 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01647-9 |
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942 | _cEBK | ||
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