Muutke küpsiste eelistusi

E-raamat: Morphological Models of Random Structures

  • Formaat - PDF+DRM
  • Hind: 221,68 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The introduced models concern many physical situations in heterogeneous media, where a probabilistic approach is required, like fracture statistics of materials, scaling up of permeability in porous media, electron microscopy images (including multispectral images), rough surfaces, multi-component composites, biological tissues, textures for image coding and synthesis. The common feature of these random structures is their domain of definition in n dimensions, requiring more general models than standard Stochastic Processes.The main topics of the book cover an introduction to the theory of random sets, random space tessellations, Boolean random sets and functions, space-time random sets and functions (Dead Leaves, Sequential Alternate models, Reaction-Diffusion), prediction of effective properties of random media, and probabilistic fracture theories.


1. Introduction.- Part I Tools for Random Structures.- 2 Introduction to
Random Closed Sets and to Semi-continuous Random Functions.- 3 Quantitative
Analysis of Random Structures.- Part II Models of Random Structures.- 4
Excursion sets of Gaussian RF.- 5 Stochastic Point Processes and Random
Trees.- 6 Boolean Random Sets.- 7 Random Tessellations.- 8 The Mosaic
Model.- 9 Boolean Random Functions.- 10 Random Tessellations and Boolean
Random Functions.- 11 Dead Leaves Models: from Space Tessellations to Random
Functions.- 12 Sequential Cox Boolean and Conditional Dead Leaves Models.- 13
Sequential Alternate Random Functions.- 14 Primary Grains and Primary
Functions.- 15 Dilution Random Functions.- 16 Reaction-Diffusion and Lattice
Gas Models.- 17 Texture Segmentation by Morphological Probabilistic
Hierarchies.- Part III Random Structures and Change of Scale.- 18 Change of
Scale in Physics of Random Media.- 19 Digital Materials.- 20 Probabilistic
Models for Fracture Statistics.- 21 Crack Paths in Random Media.
Dominique Jeulin is Director of Research and Professor at Mines-ParisTech (Ecole des Mines de Paris). Currently Scientific Adviser at Centre de Morphologie Mathématique, he was teaching  courses on models of random structures, and on physics and mechanics of random media. His main current interests cover the theoretical prediction of physical properties of random media, models and simulations of random media, 3D image analysis, probabilistic segmentation of images, applications to materials science, biology and vision.