• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod: NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Data och IT
    2. Systemvetenskap och AI

    Mathematical Morphology and Its Applications to Image Processing

    AvJean Serra,Pierre Soille

    Häftad, Engelska, 2012

    Del 2 i serien Computational Imaging and Vision

    952 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analysing the shape and form of objects, and it is mathematical in the sense that the analysis is based on set theory, topology, lattice algebra, random functions, etc. MM is not only a theory, but also a powerful image analysis technique. The purpose of the present book is to provide the image analysis community with a snapshot of current theoretical and applied developments of MM. The book consists of forty-five contributions classified by subject. It demonstrates a wide range of topics suited to the morphological approach.

    Produktinformation

    • Utgivningsdatum:2012-10-14
    • Mått:160 x 240 x 22 mm
    • Vikt:631 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Computational Imaging and Vision
    • Antal sidor:385
    • Förlag:Springer
    • ISBN:9789401044530

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Algebra inom Naturvetenskap och teknik
    • Medicinsk bildbehandling inom Medicin

    Innehållsförteckning

    • Theory.- Set operator decomposition and conditionally translation invariant elementary operators.- Mutational equations of morphological dilation tubes.- Thresholdings, umbrae, residuals, and surpluses of l-images.- Filtering.- Adaptive parameterized openings.- Synthesis of adaptive weighted order statistic filters with gradient algorithms.- A spatially variant, locally adaptive, background normalization operator.- Using genetic algorithms in the design of morphological filters.- Minimal generator basis of a finite structural opening.- Segmentation.- Watershed, hierarchical segmentation and waterfall algorithm.- Minimum spanning forests for morphological segmentation.- The flat zone approach and color images.- Joint region and motion estimation with morphological tools.- Morphological segmentation of image sequences.- Sampling.- Critical morphological sampling and applications to image coding.- A sampling approach based on equicontinuity.- Coding.- Application of morphological filters for contour image sequence coding.- The geodesic morphological skeleton and fast transformation algorithms.- Multi—parameter skeleton decomposition.- Representations and slope transform.- Morphological systems theory: slope transforms, Max—Min differential equations, envelope filters, and sampling.- Two dual representations of morphology based on the parallel normal transport property.- Dominance and incidence structures with applications to stochastic geometry and mathematical morphology.- Granulometries and shape description.- The multiscale morphology decomposition theorem.- Statistical pattern spectrum for binary pattern recognition.- Generalized geodesic distances applied to interpolation and shape description.- Random models and tessellations.- Performance analysis of amorphological Voronoï tessellation algorithm.- Optimization in Voronoï diagrams.- A stochastic tessellation of digital space.- Liquid phase sintered materials modelling by random closed sets.- Monte-Carlo estimation of morphological granulometric discrete size distributions.- Algorithmic techniques.- On the implementation of morphological operations.- An evaluation of priority queues for mathematical morphology.- One pixel thick skeletons.- Fast grayscale granulometry algorithms.- An efficient implementation technique of adaptive morphological operations.- Implementation of a distributed watershed algorithm.- Visualization of Minkowski operations by computer graphics techniques.- Morphogenesis simulations with lattice gas.- Biological applications.- Single object geometry — the stereology of registered serial sections.- Texture classification using neural networks and local granulometries.- Fusion of MR and CT images of the human brain using multiresolution morphology.- Morphological scheme for morphometric analysis of epidermal biopsy images.- Automatic quantification of spine parameters from X—ray images by means of morphological tools.- Industrial and remote sensing applications.- Image Processing: a key to success in industrial applications.- Radar images analysis using morphological filters.- Application of morphological operators to supervised multidimensional data classification.- Appendix A.- The “Centre de Morphologie Mathémathique”: an overview.- Appendix B.- List of posters contributions presented at ISMM’94.- Author Index.