| 000 | 01543cam a22003018a 4500 | ||
|---|---|---|---|
| 001 | 16984271 | ||
| 005 | 20130122094857.0 | ||
| 008 | 110930s2011 enk b 001 0 eng | ||
| 010 | _a 2011036864 | ||
| 020 | _a9781848212404 (hardback) | ||
| 040 |
_aDLC _cDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aTA1637 _b.S76 2011 |
| 082 | 0 | 0 |
_a621.3670151922 DES/Sto _223 |
| 084 |
_aTEC015000 _2bisacsh |
||
| 245 | 0 | 0 |
_aStochastic geometry for image analysis _cedited by Xavier Descombes. |
| 260 |
_aGreat Britain : _bWiley and sons; _c2012 |
||
| 263 | _a1110 | ||
| 300 |
_ax, 345 p. _c23 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed. Numerous applications, covering remote sensing images, biological and medical imaging, are detailed. This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling"-- | ||
| 650 | 0 |
_aImage processing _xStatistical methods. |
|
| 650 | 0 | _aStochastic geometry. | |
| 650 | 7 |
_aTECHNOLOGY & ENGINEERING / Imaging Systems. _2bisacsh |
|
| 700 | 1 | _aDescombes, Xavier. | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 955 |
_bxh00 2011-09-30 _ixh07 2011-09-30 ONIX to Dewey |
||
| 999 |
_c112962 _d112962 |
||