| 000 | 03682nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-02245-6 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163846.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2009 sz | s |||| 0|eng d | ||
| 020 |
_a9783031022456 _9978-3-031-02245-6 |
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| 024 | 7 |
_a10.1007/978-3-031-02245-6 _2doi |
|
| 050 | 4 | _aT1-995 | |
| 072 | 7 |
_aTBC _2bicssc |
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| 100 | 1 |
_aActon, Scott. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980854 |
|
| 245 | 1 | 0 |
_aBiomedical Image Analysis _h[electronic resource] : _bSegmentation / _cby Scott Acton, Nilanjan Ray. |
| 250 | _a1st ed. 2009. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2009. |
|
| 300 |
_aVIII, 107 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 |
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| 490 | 1 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 |
|
| 505 | 0 | _aIntroduction -- Parametric Active Contours -- Active Contours in a Bayesian Framework -- Geometric Active Contours -- Segmentation with Graph Algorithms -- Scale-Space Image Filtering for Segmentation. | |
| 520 | _aThe sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of biomedical image analysis. Whether the modality of choice is MRI, PET, ultrasound, SPECT, CT, or one of a myriad of microscopy platforms, image segmentation is a vital step in analyzing the constituent biological or medical targets. This book provides a state-of-the-art, comprehensive look at biomedical image segmentation that is accessible to well-equipped undergraduates, graduate students, and research professionals in the biology, biomedical, medical, and engineering fields. Active model methods that have emerged in the last few years are a focus of the book, including parametric active contour and active surface models, active shape models,and geometric active contours that adapt to the image topology. Additionally, Biomedical Image Analysis: Segmentation details attractive new methods that use graph theory in segmentation of biomedical imagery. Finally, the use of exciting new scale space tools in biomedical image analysis is reported. Table of Contents: Introduction / Parametric Active Contours / Active Contours in a Bayesian Framework / Geometric Active Contours / Segmentation with Graph Algorithms / Scale-Space Image Filtering for Segmentation. | ||
| 650 | 0 |
_aEngineering. _99405 |
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| 650 | 0 |
_aElectrical engineering. _980855 |
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| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aTechnology and Engineering. _980856 |
| 650 | 2 | 4 |
_aElectrical and Electronic Engineering. _980857 |
| 650 | 2 | 4 |
_aSignal, Speech and Image Processing. _931566 |
| 700 | 1 |
_aRay, Nilanjan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980858 |
|
| 710 | 2 |
_aSpringerLink (Online service) _980859 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031011177 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031033735 |
| 830 | 0 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 _980860 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02245-6 |
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| 942 | _cEBK | ||
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