LEADER 05331nam 2200649Ia 450 001 9910777935103321 005 20200520144314.0 010 $a1-282-16876-2 010 $a9786612168765 010 $a0-08-092251-1 035 $a(CKB)1000000000767437 035 $a(EBL)452947 035 $a(OCoLC)457179924 035 $a(SSID)ssj0000149344 035 $a(PQKBManifestationID)11177079 035 $a(PQKBTitleCode)TC0000149344 035 $a(PQKBWorkID)10237846 035 $a(PQKB)10930143 035 $a(MiAaPQ)EBC452947 035 $a(Au-PeEL)EBL452947 035 $a(CaPaEBR)ebr10310756 035 $a(CaONFJC)MIL216876 035 $a(PPN)170601269 035 $a(EXLCZ)991000000000767437 100 $a20080930d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 04$aThe essential guide to image processing$b[electronic resource] /$feditor, Al Bovik 210 $aAmsterdam ;$aBoston $cElsevier/AP$dc2009 215 $a1 online resource (877 p.) 300 $aDescription based upon print version of record. 311 $a0-12-374457-1 320 $aIncludes bibliographical references and index. 327 $aFront Cover; The Essential Guide to Image Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Image Processing; 1.1 Types of Images; 1.2 Scale of Images; 1.3 Dimension of Images; 1.4 Digitization of Images; 1.5 Sampled Images; 1.6 Quantized Images; 1.7 Color Images; 1.8 Size of Image Data; 1.9 Objectives of this Guide; 1.10 Organization of the Guide; Reference; Chapter 2. The SIVA Image Processing Demos; 2.1 Introduction; 2.2 LabVIEW for Image Processing; 2.2.1 The LabVIEW Development Environment 327 $a2.2.2 Image Processing and Machine Vision in LabVIEW2.3 Examples from the SIVA Image Processing Demos; 2.4 Conclusions; References; Chapter 3. Basic Gray Level Image Processing; 3.1 Introduction; 3.2 Notation; 3.3 Image Histogram; 3.4 Linear Point Operations on Images; 3.4.1 Additive Image Offset; 3.4.2 Multiplicative Image Scaling; 3.4.3 Image Negative; 3.4.4 Full-Scale Histogram Stretch; 3.5 Nonlinear Point Operations on Images; 3.5.1 Logarithmic Point Operations; 3.5.2 Histogram Equalization; 3.5.3 Histogram Shaping; 3.6 Arithmetic Operations Between Images 327 $a3.6.1 Image Averaging for Noise Reduction3.6.2 Image Differencing for Change Detection; 3.7 Geometric Image Operations; 3.7.1 Nearest Neighbor Interpolation; 3.7.2 Bilinear Interpolation; 3.7.3 Image Translation; 3.7.4 Image Rotation; 3.7.5 Image Zoom; Chapter 4. Basic Binary Image Processing; 4.1 Introduction; 4.2 Image Thresholding; 4.3 Region Labeling; 4.3.1 Region Labeling Algorithm; 4.3.2 Region Counting Algorithm; 4.3.3 Minor Region Removal Algorithm; 4.4 Binary Image Morphology; 4.4.1 Logical Operations; 4.4.2 Windows; 4.4.3 Morphological Filters; 4.4.4 Morphological Boundary Detection 327 $a4.5 Binary Image Representation and Compression4.5.1 Run-Length Coding; 4.5.2 Chain Coding; Chapter 5. Basic Tools for Image Fourier Analysis; 5.1 Introduction; 5.2 Discrete-Space Sinusoids; 5.3 Discrete-Space Fourier Transform; 5.3.1 Linearity of DSFT; 5.3.2 Inversion of DSFT; 5.3.3 Magnitude and Phase of DSFT; 5.3.4 Symmetry of DSFT; 5.3.5 Translation of DSFT; 5.3.6 Convolution and the DSFT; 5.4 2D Discrete Fourier Transform (DFT); 5.4.1 Linearity and Invertibility of DFT; 5.4.2 Symmetry of DFT; 5.4.3 Periodicity of DFT; 5.4.4 Image Periodicity Implied by DFT 327 $a5.4.5 Cyclic Convolution Property of the DFT5.4.6 Linear Convolution Using the DFT; 5.4.7 Computation of the DFT; 5.4.8 Displaying the DFT; 5.5 Understanding Image Frequencies and the DFT; 5.5.1 Frequency Granularity; 5.5.2 Frequency Orientation; 5.6 Related Topics in this Guide; Chapter 6. Multiscale Image Decompositions and Wavelets; 6.1 Overview; 6.2 Pyramid Representations; 6.2.1 Decimation and Interpolation; 6.2.2 Gaussian Pyramid; 6.2.3 Laplacian Pyramid; 6.3 Wavelet Representations; 6.3.1 Filter Banks; 6.3.2 Wavelet Decomposition; 6.3.3 Discrete Wavelet Bases 327 $a6.3.4 Continuous Wavelet Bases 330 $aThis comprehensive and state-of-the art approach to image processing gives engineers and students a comprehensive introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. To help learn the concepts and techniques, the book contains a CD-ROM of 70 highly interactive visual demonstrations. Key algorithms and their implementation details are included, as are the latest developments in the standards.* A complete and modern introduction to the basic and intermediate concepts of image 606 $aImage processing$xDigital techniques 606 $aImage processing 615 0$aImage processing$xDigital techniques. 615 0$aImage processing. 676 $a621.367 700 $aBovik$b Alan C$g(Alan Conrad),$f1958-$028417 701 $aBovik$b Alan C$g(Alan Conrad),$f1958-$028417 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910777935103321 996 $aThe essential guide to image processing$93737383 997 $aUNINA