{"product_id":"image-processing-and-pattern-recognition-isbn-9780470404614","title":"Image Processing and Pattern Recognition","description":"\u003cb\u003eA comprehensive guide to the essential principles of image processing and pattern recognition\u003c\/b\u003e  \u003cp\u003eTechniques 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, \u003ci\u003eImage Processing and Pattern Recognition\u003c\/i\u003e 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 and applications.\u003c\/p\u003e \u003cp\u003eUnlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic.\u003c\/p\u003e \u003cp\u003eFeaturing supplemental materials for instructors and students, \u003ci\u003eImage Processing and Pattern Recognition\u003c\/i\u003e is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.\u003c\/p\u003e  \u003cb\u003ePART I: FUNDAMENTALS.\u003c\/b\u003e  \u003cp\u003e1 INTRODUCTION.\u003c\/p\u003e \u003cp\u003e1.1 The World of Signals.\u003c\/p\u003e \u003cp\u003e1.2 Digital Image Processing.\u003c\/p\u003e \u003cp\u003e1.3 Elements of an Image Processing System.\u003c\/p\u003e \u003cp\u003eAppendix 1.A Selected List of Books on Image Processing and Computer Vision from Year 2000.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 MATHEMATICAL PRELIMINARIES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Laplace Transform.\u003c\/p\u003e \u003cp\u003e2.2 Fourier Transform.\u003c\/p\u003e \u003cp\u003e2.3 Z-Transform.\u003c\/p\u003e \u003cp\u003e2.4 Cosine Transform.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e2.5 Wavelet Transform.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 IMAGE ENHANCEMENT.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Grayscale Transformation.\u003c\/p\u003e \u003cp\u003e3.2 Piecewise Linear Transformation.\u003c\/p\u003e \u003cp\u003e3.3 Bit Plane Slicing.\u003c\/p\u003e \u003cp\u003e3.4 Histogram Equalization.\u003c\/p\u003e \u003cp\u003e3.5 Histogram Specification.\u003c\/p\u003e \u003cp\u003e3.6 Enhancement by Arithmetic Operations.\u003c\/p\u003e \u003cp\u003e3.7 Smoothing Filter.\u003c\/p\u003e \u003cp\u003e3.8 Sharpening Filter.\u003c\/p\u003e \u003cp\u003e3.9 Image Blur Types and Quality Measures.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 MATHEMATICAL MORPHOLOGY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Binary Morphology.\u003c\/p\u003e \u003cp\u003e4.2 Opening and Closing.\u003c\/p\u003e \u003cp\u003e4.3 Hit-or-Miss Transform.\u003c\/p\u003e \u003cp\u003e4.4 Grayscale Morphology.\u003c\/p\u003e \u003cp\u003e4.5 Basic Morphological Algorithms.\u003c\/p\u003e \u003cp\u003e4.6 Morphological Filters.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 IMAGE SEGMENTATION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Thresholding.\u003c\/p\u003e \u003cp\u003e5.2 Object (Component) Labeling.\u003c\/p\u003e \u003cp\u003e5.3 Locating Object Contours by the Snake Model.\u003c\/p\u003e \u003cp\u003e5.4 Edge Operators.\u003c\/p\u003e \u003cp\u003e5.5 Edge Linking by Adaptive Mathematical Morphology.\u003c\/p\u003e \u003cp\u003e5.6 Automatic Seeded Region Growing.\u003c\/p\u003e \u003cp\u003e5.7 A Top-Down Region Dividing Approach.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 DISTANCE TRANSFORMATION AND SHORTEST PATH PLANNING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 General Concept.\u003c\/p\u003e \u003cp\u003e6.2 Distance Transformation by Mathematical Morphology.\u003c\/p\u003e \u003cp\u003e6.3 Approximation of Euclidean Distance.\u003c\/p\u003e \u003cp\u003e6.4 Decomposition of Distance Structuring Element.\u003c\/p\u003e \u003cp\u003e6.5 The 3D Euclidean Distance.\u003c\/p\u003e \u003cp\u003e6.6 The Acquiring Approaches.\u003c\/p\u003e \u003cp\u003e6.7 The Deriving Approaches.\u003c\/p\u003e \u003cp\u003e6.8 The Shortest Path Planning.\u003c\/p\u003e \u003cp\u003e6.9 Forward and Backward Chain Codes for Motion Planning.\u003c\/p\u003e \u003cp\u003e6.10 A Few Examples.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 IMAGE REPRESENTATION AND DESCRIPTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Run-Length Coding.\u003c\/p\u003e \u003cp\u003e7.2 Binary Tree and Quadtree.\u003c\/p\u003e \u003cp\u003e7.3 Contour Representation.\u003c\/p\u003e \u003cp\u003e7.4 Skeletonization by Thinning.\u003c\/p\u003e \u003cp\u003e7.5 Medial Axis Transformation.\u003c\/p\u003e \u003cp\u003e7.6 Object Representation and Tolerance.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 FEATURE EXTRACTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Fourier Descriptor and Moment Invariants.\u003c\/p\u003e \u003cp\u003e8.2 Shape Number and Hierarchical Features.\u003c\/p\u003e \u003cp\u003e8.3 Corner Detection.\u003c\/p\u003e \u003cp\u003e8.4 Hough Transform.\u003c\/p\u003e \u003cp\u003e8.5 Principal Component Analysis.\u003c\/p\u003e \u003cp\u003e8.6 Linear Discriminate Analysis.\u003c\/p\u003e \u003cp\u003e8.7 Feature Reduction in Input and Feature Spaces.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 PATTERN RECOGNITION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 The Unsupervised Clustering Algorithm.\u003c\/p\u003e \u003cp\u003e9.2 Bayes Classifier.\u003c\/p\u003e \u003cp\u003e9.3 Support Vector Machine.\u003c\/p\u003e \u003cp\u003e9.4 Neural Networks.\u003c\/p\u003e \u003cp\u003e9.5 The Adaptive Resonance Theory Network.\u003c\/p\u003e \u003cp\u003e9.6 Fuzzy Sets in Image Analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II: APPLICATIONS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 FACE IMAGE PROCESSING AND ANALYSIS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Face and Facial Feature Extraction.\u003c\/p\u003e \u003cp\u003e10.2 Extraction of Head and Face Boundaries and Facial Features.\u003c\/p\u003e \u003cp\u003e10.3 Recognizing Facial Action Units.\u003c\/p\u003e \u003cp\u003e10.4 Facial Expression Recognition in JAFFE Database.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 DOCUMENT IMAGE PROCESSING AND CLASSIFICATION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Block Segmentation and Classification.\u003c\/p\u003e \u003cp\u003e11.2 Rule-Based Character Recognition System.\u003c\/p\u003e \u003cp\u003e11.3 Logo Identification.\u003c\/p\u003e \u003cp\u003e11.4 Fuzzy Typographical Analysis for Character Preclassification.\u003c\/p\u003e \u003cp\u003e11.5 Fuzzy Model for Character Classification.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 IMAGE WATERMARKING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Watermarking Classification.\u003c\/p\u003e \u003cp\u003e12.2 Spatial Domain Watermarking.\u003c\/p\u003e \u003cp\u003e12.3 Frequency-Domain Watermarking.\u003c\/p\u003e \u003cp\u003e12.4 Fragile Watermark.\u003c\/p\u003e \u003cp\u003e12.5 Robust Watermark.\u003c\/p\u003e \u003cp\u003e12.6 Combinational Domain Digital Watermarking.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 IMAGE STEGANOGRAPHY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Types of Steganography.\u003c\/p\u003e \u003cp\u003e13.2 Applications of Steganography.\u003c\/p\u003e \u003cp\u003e13.3 Embedding Security and Imperceptibility.\u003c\/p\u003e \u003cp\u003e13.4 Examples of Steganography Software.\u003c\/p\u003e \u003cp\u003e13.5 Genetic Algorithm-Based Steganography.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 SOLAR IMAGE PROCESSING AND ANALYSIS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Automatic Extraction of Filaments.\u003c\/p\u003e \u003cp\u003e14.2 Solar Flare Detection.\u003c\/p\u003e \u003cp\u003e14.3 Solar Corona Mass Ejection Detection.\u003c\/p\u003e \u003cp\u003eINDEX.\u003c\/p\u003e \u003cb\u003eFrank Y. Shih\u003c\/b\u003e is a professor jointly appointed in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, New Jersey. He is also Director of Computer Vision Laboratory. He is an internationally renowned scholar and serves as the Editor-in-Chief for the \u003ci\u003eInternational Journal of Multimedia Intelligence and Security (IJMIS)\u003c\/i\u003e. Dr. Shih is currently on the editorial boards of \u003ci\u003ePattern Recognition, Pattern Recognition Letters\u003c\/i\u003e, the \u003ci\u003eInternational Journal of Pattern Recognition and Artificial Intelligence\u003c\/i\u003e, \u003ci\u003eJournal of Information Hiding and Multimedia Signal Processing\u003c\/i\u003e, \u003ci\u003eRecent Patents on Engineering, Recent Patents on Computer Science\u003c\/i\u003e, \u003ci\u003eThe Open Nanoscience Journal\u003c\/i\u003e, the \u003ci\u003eInternational Journal of Internet Protocol Technology\u003c\/i\u003e, and the \u003ci\u003eJournal of Internet Technology\u003c\/i\u003e. The recipient of several awards for distinguished research, Dr. Shih has also made significant contributions to information hiding, focusing on the security and robustness of digital steganography and watermarking.  \u003cb\u003eA comprehensive guide to the essential principles of image processing and pattern recognition\u003c\/b\u003e  \u003cp\u003eTechniques 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, \u003ci\u003eImage Processing and Pattern Recognition\u003c\/i\u003e 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 and applications.\u003c\/p\u003e \u003cp\u003eUnlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic.\u003c\/p\u003e \u003cp\u003eFeaturing supplemental materials for instructors and students, \u003ci\u003eImage Processing and Pattern Recognition\u003c\/i\u003e is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989401518309,"sku":"NP9780470404614","price":179.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470404614.jpg?v=1761783969","url":"https:\/\/k12savings.com\/products\/image-processing-and-pattern-recognition-isbn-9780470404614","provider":"K12savings","version":"1.0","type":"link"}