LEADER 01506nam 2200493 450 001 9910459908903321 005 20200520144314.0 010 $a1-59756-671-3 035 $a(CKB)3710000000278558 035 $a(SSID)ssj0001370779 035 $a(PQKBManifestationID)11824281 035 $a(PQKBTitleCode)TC0001370779 035 $a(PQKBWorkID)11293125 035 $a(PQKB)10906932 035 $a(MiAaPQ)EBC1887948 035 $a(Au-PeEL)EBL1887948 035 $a(CaPaEBR)ebr10984481 035 $a(OCoLC)895048956 035 $a(EXLCZ)993710000000278558 100 $a20141122h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModern hearing aids $epre-fitting, testing, and selection considerations /$fH. Gustav Mueller, Todd Ricketts, Ruth Bentler 210 1$aSan Diego, California :$cPlural Publishing, Inc.,$d2014. 210 4$dİ2014 215 $a1 online resource (471 pages) $cillustrations, photographs 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-59756-138-X 320 $aIncludes bibliographical references and index. 606 $aHearing aids 608 $aElectronic books. 615 0$aHearing aids. 676 $a617.89 700 $aMueller$b H. Gustav$0955258 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459908903321 996 $aModern hearing aids$92160839 997 $aUNINA LEADER 06206nam 2200709 a 450 001 9910140818203321 005 20200520144314.0 010 $a9786612707551 010 $a9781282707559 010 $a1282707558 010 $a9780470590416 010 $a0470590416 010 $a9780470590409 010 $a0470590408 024 7 $a10.1002/9780470590416 024 8 $a9786612707551 035 $a(CKB)2670000000034308 035 $a(EBL)565104 035 $a(SSID)ssj0000420278 035 $a(PQKBManifestationID)11286372 035 $a(PQKBTitleCode)TC0000420278 035 $a(PQKBWorkID)10391964 035 $a(PQKB)11588286 035 $a(MiAaPQ)EBC565104 035 $a(CaBNVSL)mat05559001 035 $a(IDAMS)0b0000648130f3e9 035 $a(IEEE)5559001 035 $a(OCoLC)662453214 035 $a(PPN)190188561 035 $a(Perlego)2762204 035 $a(EXLCZ)992670000000034308 100 $a20090910d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aImage processing and pattern recognition $efundamentals and techniques /$fFrank Y. Shih 210 $aPiscataway, NJ $cIEEE Press ;$aHoboken, N.J. $cWiley$dc2010 215 $a1 online resource (551 p.) 300 $aDescription based upon print version of record. 311 08$a9780470404614 311 08$a0470404612 320 $aIncludes bibliographical references and index. 327 $aPART I: FUNDAMENTALS -- 1 INTRODUCTION -- 1.1 The World of Signals -- 1.2 Digital Image Processing -- 1.3 Elements of an Image Processing System -- Appendix 1.A Selected List of Books on Image Processing and Computer Vision from Year 2000 -- References -- 2 MATHEMATICAL PRELIMINARIES -- 2.1 Laplace Transform -- 2.2 Fourier Transform -- 2.3 Z-Transform -- -- 2.4 Cosine Transform -- 2.5 Wavelet Transform -- 3 IMAGE ENHANCEMENT -- 3.1 Grayscale Transformation -- 3.2 Piecewise Linear Transformation -- 3.3 Bit Plane Slicing -- 3.4 Histogram Equalization -- 3.5 Histogram Specification -- 3.6 Enhancement by Arithmetic Operations -- 3.7 Smoothing Filter -- 3.8 Sharpening Filter -- 3.9 Image Blur Types and Quality Measures -- 4 MATHEMATICAL MORPHOLOGY -- 4.1 Binary Morphology -- 4.2 Opening and Closing -- 4.3 Hit-or-Miss Transform -- 4.4 Grayscale Morphology -- 4.5 Basic Morphological Algorithms -- 4.6 Morphological Filters -- 5 IMAGE SEGMENTATION -- 5.1 Thresholding -- 5.2 Object (Component) Labeling -- 5.3 Locating Object Contours by the Snake Model -- 5.4 Edge Operators -- 5.5 Edge Linking by Adaptive Mathematical Morphology -- 5.6 Automatic Seeded Region Growing -- 5.7 A Top-Down Region Dividing Approach -- 6 DISTANCE TRANSFORMATION AND SHORTEST PATH PLANNING -- 6.1 General Concept -- 6.2 Distance Transformation by Mathematical Morphology -- 6.3 Approximation of Euclidean Distance -- 6.4 Decomposition of Distance Structuring Element -- 6.5 The 3D Euclidean Distance -- 6.6 The Acquiring Approaches -- 6.7 The Deriving Approaches -- 6.8 The Shortest Path Planning -- 6.9 Forward and Backward Chain Codes for Motion Planning -- 6.10 A Few Examples -- 7 IMAGE REPRESENTATION AND DESCRIPTION -- 7.1 Run-Length Coding -- 7.2 Binary Tree and Quadtree -- 7.3 Contour Representation -- 7.4 Skeletonization by Thinning -- 7.5 Medial Axis Transformation -- 7.6 Object Representation and Tolerance -- 8 FEATURE EXTRACTION -- 8.1 Fourier Descriptor and Moment Invariants -- 8.2 Shape Number and Hierarchical Features. 327 $a8.3 Corner Detection -- 8.4 Hough Transform -- 8.5 Principal Component Analysis -- 8.6 Linear Discriminate Analysis -- 8.7 Feature Reduction in Input and Feature Spaces -- 9 PATTERN RECOGNITION -- 9.1 The Unsupervised Clustering Algorithm -- 9.2 Bayes Classifier -- 9.3 Support Vector Machine -- 9.4 Neural Networks -- 9.5 The Adaptive Resonance Theory Network -- 9.6 Fuzzy Sets in Image Analysis -- PART II: APPLICATIONS -- 10 FACE IMAGE PROCESSING AND ANALYSIS -- 10.1 Face and Facial Feature Extraction -- 10.2 Extraction of Head and Face Boundaries and Facial Features -- 10.3 Recognizing Facial Action Units -- 10.4 Facial Expression Recognition in JAFFE Database -- 11 DOCUMENT IMAGE PROCESSING AND CLASSIFICATION -- 11.1 Block Segmentation and Classification -- 11.2 Rule-Based Character Recognition System -- 11.3 Logo Identification -- 11.4 Fuzzy Typographical Analysis for Character Preclassification -- 11.5 Fuzzy Model for Character Classification -- 12 IMAGE WATERMARKING -- 12.1 Watermarking Classification -- 12.2 Spatial Domain Watermarking -- 12.3 Frequency-Domain Watermarking -- 12.4 Fragile Watermark -- 12.5 Robust Watermark -- 12.6 Combinational Domain Digital Watermarking -- 13 IMAGE STEGANOGRAPHY -- 13.1 Types of Steganography -- 13.2 Applications of Steganography -- 13.3 Embedding Security and Imperceptibility -- 13.4 Examples of Steganography Software -- 13.5 Genetic Algorithm-Based Steganography -- 14 SOLAR IMAGE PROCESSING AND ANALYSIS -- 14.1 Automatic Extraction of Filaments -- 14.2 Solar Flare Detection -- 14.3 Solar Corona Mass Ejection Detection -- INDEX. 330 $aA comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems 606 $aImage processing 606 $aSignal processing 606 $aPattern recognition systems 615 0$aImage processing. 615 0$aSignal processing. 615 0$aPattern recognition systems. 676 $a621.36/7 700 $aShih$b Frank Y$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910140818203321 996 $aImage processing and pattern recognition$9835403 997 $aUNINA