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020 _a9783319141725
_z978-3-319-14172-5
024 7 _a10.1007/978-3-319-14172-5
_2doi
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aUYT
_2thema
072 7 _aUYQV
_2thema006.6
_223006.37
_223
100 1 _aDas, Apurba.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aGuide to Signals and Patterns in Image Processing :
_bFoundations, Methods and Applications /
_cby Apurba Das.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction to Digital Images -- Image Enhancement in the Spatial Domain -- Interpretation and Processing of Images in the Frequency Domain -- Color Science and Color Technology -- Wavelets: Multi-Resolution Image Processing -- Compression and Encoding of Images: Image Formats -- Morphology-Based Image Processing -- Patterns in Images and their Applications -- Psycho-Visual Pattern Recognition: Computer Vision -- Appendix A: Digital Differentiation and Edge Detection -- Appendix B: Elementary Probability Theory -- Appendix C: Frequently Used MATLAB Functions.
520 _aThis unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Topics and features: Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain Describes the basics of the physics of light and color, and of the psycho-visual color system Reviews compression methods and formats for encoding images Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction Investigates the modeling of object recognition in the human visual system for computer vision Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author’s extensive experience in academic teaching and training, government R&D, and private industry.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 1 4 _aImage Processing and Computer Vision.
_0http://scigraph.springernature.com/things/product-market-codes/I22021
650 2 4 _aPattern Recognition.
_0http://scigraph.springernature.com/things/product-market-codes/I2203X
650 2 4 _aSignal, Image and Speech Processing.
_0http://scigraph.springernature.com/things/product-market-codes/T24051
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-14172-5
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434445
_d52657
942 _2lcc
_cEBK
041 _aeng