LEADER 05006nam 22007335 450 001 9910254994203321 005 20220214202830.0 010 $a1-4471-6684-1 024 7 $a10.1007/978-1-4471-6684-9 035 $a(CKB)3710000000627412 035 $a(SSID)ssj0001656802 035 $a(PQKBManifestationID)16438887 035 $a(PQKBTitleCode)TC0001656802 035 $a(PQKBWorkID)14989300 035 $a(PQKB)10882218 035 $a(DE-He213)978-1-4471-6684-9 035 $a(MiAaPQ)EBC6315926 035 $a(MiAaPQ)EBC5588394 035 $a(Au-PeEL)EBL5588394 035 $a(OCoLC)945632947 035 $a(PPN)192770187 035 $a(EXLCZ)993710000000627412 100 $a20160325d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDigital Image Processing $eAn Algorithmic Introduction Using Java /$fby Wilhelm Burger, Mark J. Burge 205 $a2nd ed. 2016. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2016. 215 $a1 online resource (XXIII, 811 p. 413 illus., 141 illus. in color.) 225 1 $aTexts in Computer Science,$x1868-0941 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4471-6683-3 327 $aDigital Images -- ImageJ -- Histograms and Image Statistics -- Point Operations -- Filters -- Edges and Contours -- Corner Detection -- Finding Simple Curves: The Hough Transform -- Morphological Filters -- Regions in Binary Images -- Automatic Thresholding -- Color Images -- Color Quantization -- Colorimetric Color Spaces -- Filters for Color Images -- Edge Detection in Color Images -- Edge-Preserving Smoothing Filters -- Introduction to Spectral Techniques -- The Discrete Fourier Transform in 2D -- The Discrete Cosine Transform (DCT) -- Geometric Operations -- Pixel Interpolation -- Image Matching and Registration -- Non-Rigid Image Matching -- Scale-Invariant Feature Transform (SIFT) -- Fourier Shape Descriptors -- Appendix A: Mathematical Symbols and Notation -- Appendix B: Linear Algebra -- Appendix C: Calculus -- Appendix D: Statistical Prerequisites -- Appendix E: Gaussian Filters -- Appendix F: JavaNotes. 330 $aThis modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated new edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content and improved teaching material. Topics and features: Contains new chapters on automatic thresholding, filters and edge detection for color images, edge-preserving smoothing filters, non-rigid image matching, and Fourier shape descriptors. Includes exercises at the end of every chapter, and provides additional supplementary material at an associated website. Uses ImageJ for all examples, a widely used open source imaging system that can run on all major platforms and be easily ported to other programming languages. Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs. Presents suggested outlines for a one- or two-semester course in the preface. Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer. 410 0$aTexts in Computer Science,$x1868-0941 606 $aOptical data processing 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aComputational intelligence 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aOptical data processing. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aComputational intelligence. 615 14$aImage Processing and Computer Vision. 615 24$aSignal, Image and Speech Processing. 615 24$aComputational Intelligence. 676 $a621.367 700 $aBurger$b Wilhelm$4aut$4http://id.loc.gov/vocabulary/relators/aut$0477301 702 $aBurge$b Mark J$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254994203321 996 $aDigital Image Processing$92102223 997 $aUNINA