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Bernd Jähne

    January 1, 1953
    Digitale Bildverarbeitung und Bildgewinnung
    Technische Bildverarbeitung ' Maschinelles Sehen
    Digitale Bildverarbeitung
    Air water gas transfer
    Complex motion
    Digital image processing
    • 2007

      Complex motion

      • 234 pages
      • 9 hours of reading

      The world we live in is a dynamic one: we explore it by moving through it, and many of the objects which we are interested in are also moving. Tra? c, for instance, is an example of a domain where detecting and processing visual motion is of vital interest, both in a metaphoric as well as in a purely literal sense. Visual communication is another important example of an area of science which is dominated by the need to measure, understand, and represent visual motion in an e? cient way. Visual motion is a subject of research which forces the investigator to deal withcomplexity; complexityinthesenseoffacinge? ectsofmotioninaverylarge diversity of forms, starting from analyzing simple motion in a changing envir- ment (illumination, shadows, . . . ), under adverse observation conditions, such as bad signal-to-noiseratio (low illumination, small-scaleprocesses, low-dosex-ray, etc. ), covering also multiple motions of independent objects, occlusions, and - ing as far as dealing with objects which are complex in themselves (articulated objects such as bodies of living beings). The spectrum of problems includes, but does not end at, objects which are not ‘bodies’ at all, e. g. , when anal- ing ? uid motion, cloud motion, and so on. Analyzing the motion of a crowd in a shopping mall or in an airport is a further example that implies the need to struggleagainsttheproblemsinducedbycomplexity.

      Complex motion
    • 2002

      Digital image processing

      • 585 pages
      • 21 hours of reading

      This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists. Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. Complete text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practice exercises

      Digital image processing