000			01420nam a2200265Ia 4500
003			OSt
005			20250716170052.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9781848212404
040			_aCSL _beng _cCSL
041			_aeng
084			_aB2811 Q2 _qCSL
245		0	_aStochastic Geometry for Image Analysis
260			_aNew Jersey : _bJohn Wiley, _c2012.
300			_ax, 345p.
490			_aDigital signal and image processing series
500			_aIncludes Bibliography 325-340p.and Index 343-345p.
520			_aThis 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			_aImage analysis. _9711728
650			_aStochastic geometry. _9815808
650			_aStatistics.
700			_aDescombes, Xavier _eeditor. _9815809
942			_hB2811 Q2 _cTEXL _2CC _n0
999			_c13304 _d13304