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001 978-1-4471-2503-7
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008 120124s2012 xxk| s |||| 0|eng d
020 _a9781447125037
_9978-1-4471-2503-7
024 7 _a10.1007/978-1-4471-2503-7
_2doi
050 4 _aTA1637-1638
050 4 _aTA1637-1638
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aMoeslund, Thomas B.
_eauthor.
245 1 0 _aIntroduction to Video and Image Processing
_h[electronic resource] :
_bBuilding Real Systems and Applications /
_cby Thomas B. Moeslund.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _aXI, 227p. 181 illus., 71 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUndergraduate Topics in Computer Science,
_x1863-7310
505 0 _aIntroduction -- Image Acquisition -- Color Images -- Point Processing -- Neighborhood Processing -- Morphology -- BLOB Analysis -- Segmentation in Video Data -- Tracking -- Geometric Transformations -- Visual Effects -- Application Example: Edutainment Game -- Application Example: Coin Sorting using a Robot -- Bits, Bytes and Binary Numbers -- Mathematical Definitions -- Learning Parameters in Video and Image Processing Systems -- Conversion Between RGB and HSI -- Conversion Between RGB and HSV -- Conversion Between RGB and YUV/YCbCr.
520 _aIn order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects. This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Topics and features: Includes more than 100 exercises, as well as C-code snippets of the key algorithms Equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis Covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects Requires only a minimal understanding of mathematics Presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website Provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.
650 0 _aComputer science.
650 0 _aMultimedia systems.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 0 _aInformation systems.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aMedia Design.
650 2 4 _aComputer Appl. in Arts and Humanities.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447125020
830 0 _aUndergraduate Topics in Computer Science,
_x1863-7310
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2503-7
912 _aZDB-2-SCS
999 _c100690
_d100690