Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Xavier Descombes, Director of Research INRIA, EPI Ariana
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Stochastic Geometry for Image Analysis
Immagini fornite dal venditore
Stochastic Geometry for Image Analysis (Digital Signal and Image Processing Series)
Editore:
Wiley-ISTE, 2011
ISBN 10: 1848212402
ISBN 13: 9781848212404
Antico o usato
Rilegato
Prima edizione
Da: killarneybooks, Inagh, CLARE, Irlanda
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Good. 1st Edition. Hardcover, 345 pages, NOT ex-library. Manufacturing fault: missing the title page and all the contents pages (pp iii-x); main text is complete, all the chapters are there (book opens on a half-title page followed directly by page 1; the missing pages haven't been removed, looks like they just have been omitted in the printing process - book is firmly bound and shows no signs of damage). Residue of a removed sticker inside the front board (covered with a blank sticker). Interior is clean and bright throughout with unmarked text. Boards show gentle handling wear, short corner creases, some tiny scuff-marks. Issued without a dust jacket. -- "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". -- Contents: 1. Introduction 2. Marked Point Processes for Object Detection [Principal definitions; Density of a point process; Marked point processes; Point processes and image analysis] 3. Random Sets for Texture Analysis [Introduction; Random sets; Some geostatistical aspects; Some morphological aspects; Appendix: demonstration of Miles' formulae for the Boolean model] 4. Simulation and Optimization [Discrete simulations: Markov chain Monte Carlo algorithms; Continuous simulations; Mixed simulations; Simulated annealing] 5. Parametric Inference for Marked Point Processes in Image Analysis [Introduction; First question: what and where are the objects in the image?; Second question: what are the parameters of the point process that models the objects observed in the image?; Conclusion and perspectives] 6. How to Set Up a Point Process? [From disks to polygons, via a discussion of segments; From no overlap to alignment; From the likelihood to a hypothesis test; From Metropolis-Hastings to multiple births and deaths] 7. Population Counting [Detection of Virchow-Robin spaces; Evaluation of forestry resources; Counting a population of flamingos; Counting the boats at a port] 8. Structure Extraction [Detection of the road network; Extraction of building footprints; Representation of natural textures - Simple model (Data term; Sampling by jump diffusion; Results) - Models with complex interactions] 9. Shape Recognition [Modeling of a LIDAR signal - Motivation - Model library (Energy formulation) - Sampling - Results (Simulated data; Satellite data: large footprint waveforms; Airborne data: small footprint waveforms; Application to the classification of 3D point clouds); 3D reconstruction of buildings - Library of 3D models - Bayesian formulation (Likelihood; A priori) -Optimization - Results and discussion]; Bibliography; List of Authors; Index. Codice articolo 007440
Compra usato
EUR 54,40
Spedizione EUR 34,26
Spedito da Irlanda a U.S.A.
Spedito da Irlanda a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Stochastic Geometry for Image Analysis
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 11862228-n
Compra nuovo
EUR 131,54
Spedizione EUR 2,23
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Stochastic Geometry for Image Analysis Format: Hardcover
Da: INDOO, Avenel, NJ, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 9781848212404
Compra nuovo
EUR 133,82
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Stochastic Geometry for Image Analysis
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 11862228
Compra usato
EUR 152,32
Spedizione EUR 2,23
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Stochastic Geometry for Image Analysis (Hardcover)
Editore:
ISTE Ltd and John Wiley & Sons Inc, London, 2011
ISBN 10: 1848212402
ISBN 13: 9781848212404
Nuovo
Rilegato
Prima edizione
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781848212404
Compra nuovo
EUR 171,27
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Stochastic Geometry for Image Analysis
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 11862228
Compra usato
EUR 158,74
Spedizione EUR 17,12
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Stochastic Geometry for Image Analysis (Digital Signal and Image Processing)
Da: Ubiquity Trade, Miami, FL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Brand new! Please provide a physical shipping address. Codice articolo 9781848212404
Compra nuovo
EUR 193,96
Spedizione EUR 2,54
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Stochastic Geometry for Image Analysis
Editore:
ISTE Ltd and John Wiley & Sons Inc, 2011
ISBN 10: 1848212402
ISBN 13: 9781848212404
Nuovo
Rilegato
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
Condizione: New. 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. Editor(s): Descombes, Xavier. Num Pages: 356 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 25. Weight in Grams: 684. . 2011. . . . . Codice articolo V9781848212404
Compra nuovo
EUR 190,04
Spedizione EUR 10,50
Spedito da Irlanda a U.S.A.
Spedito da Irlanda a U.S.A.
Quantità: 15 disponibili
Immagini fornite dal venditore
Stochastic Geometry for Image Analysis
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 11862228-n
Compra nuovo
EUR 189,98
Spedizione EUR 17,12
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Stochastic Geometry for Image Analysis
Da: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: New. 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 . Codice articolo 556580895
Compra nuovo
EUR 176,19
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili