Fundamentals of Digital Image Processing. (Record no. 25523)

MARC details
000 -LEADER
fixed length control field 07978nam a22003853i 4500
001 - CONTROL NUMBER
control field EBC5124889
003 - CONTROL NUMBER IDENTIFIER
control field MiAaPQ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190104120739.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181231s2006 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788131798720
Qualifying information (electronic bk.)
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC5124889
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL5124889
035 ## - SYSTEM CONTROL NUMBER
System control number (CaONFJC)MIL475827
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1024273543
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 621.367
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Annadurai, S.
245 10 - TITLE STATEMENT
Title Fundamentals of Digital Image Processing.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (441 pages)
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover -- Preface -- Acknowledgement -- About the Authors -- Contents -- Chapter 1: Introduction to Digital Image Processing -- 1.1 Introduction -- 1.2 Steps in Image Processing -- 1.3 Building Blocks of a Digital Image Processing System -- 1.3.1 Image Acquisition -- 1.3.2 Storage -- 1.3.3 Processing -- 1.3.4 Display and Communication Interface -- Summary -- Review Questions -- Chapter 2: Digital Image Representation -- 2.1 Introduction -- 2.2 Digital Image Representation -- 2.3 Sampling and Quantization -- 2.4 Basic Relationship Between Pixels -- 2.4.1 Neighbors and Connectivity -- 2.4.2 Distance Measure -- Summary -- Review Questions -- Chapter 3: Image Transforms -- 3.1 Introduction -- 3.2 Fourier Transform -- 3.3 Discrete Fourier Transform -- 3.4 Properties of Fourier Transform -- 3.4.1 Separability -- 3.4.2 Translation -- 3.4.3 Periodicity and Conjugate Symmetry -- 3.4.4 Rotation -- 3.4.5 Distributivity and Scaling -- 3.4.6 Average Value -- 3.4.7 Laplacian -- 3.4.8 Convolution and Correlation -- 3.5 Fast Fourier Transform -- 3.5.1 Fast Fourier Transform Algorithm -- 3.5.2 The Inverse FFT -- 3.6 Discrete Cosine Transform -- 3.6.1 Properties of Cosine Transform -- 3.7 Walsh Transform -- 3.8 Hadamard Transform -- 3.9 The Haar Transform -- 3.10 The Slant Transform -- 3.11 The Hotelling Transform -- Summary -- Review Questions -- Chapter 4: Image Enhancement -- 4.1 Introduction -- 4.2 Spatial Domain and Frequency Domain Approaches -- 4.2.1 Frequency Domain Techniques -- 4.3 Spatial Domain Techniques -- 4.3.1 Negative of an Image -- 4.3.2 Contrast Stretching -- 4.3.3 Gray Level Slicing -- 4.3.4 Bit Plane Slicing -- 4.3.5 Histogram and Histogram Equalization -- 4.3.6 Histogram Specifications -- 4.3.7 Local Enhancement Technique -- 4.3.8 Image Subtraction -- 4.3.9 Image Average -- 4.4 Spatial Filtering -- 4.4.1 Low-Pass Spatial Filters.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.4.2 Median Filtering -- 4.4.3 High-Pass Spatial Filters -- 4.4.4 High-Boost Filter -- 4.4.5 Derivative Filters -- 4.5 Frequency Domain -- 4.5.1 Ideal Low-Pass Filter -- 4.5.2 Butterworth Low-Pass Filter -- 4.5.3 High-Pass Filter -- 4.5.4 Homomorphic Filtering -- 4.5.5 Pseudo Color Image -- 4.6 Gray Level to Color Transformation -- 4.6.1 Filter Approach for Color Coding -- Summary -- Review Questions -- Chapter 5: Image Compression -- 5.1 Introduction -- 5.2 Coding Redundancy -- 5.3 Inter-Pixel Redundancy -- 5.4 Psycho-Visual Redundancy -- 5.5 Image Compression Models -- 5.6 The Source Encoder and Decoder -- 5.7 The Channel Encoder and Decoder -- 5.8 Information Theory -- 5.8.1 Information -- 5.8.2 Entropy Coding -- 5.9 Classification -- 5.10 Huffman Coding -- 5.10.1 Arithmetic Coding -- 5.10.2 Lossless Predictive Coding -- 5.11 Lossy Compression Techniques -- 5.11.1 Lossy Predictive Compression Approach -- 5.11.2 Transform Coding -- 5.11.3 Subimage Selection -- 5.11.4 Coefficients Selection -- 5.12 Threshold Coding -- 5.13 Vector Quantization -- 5.14 Image Compression Standard (JPEG) -- 5.15 Image Compression Using Neural Networks -- 5.15.1 Multilayer Perceptron Network for Image Compression -- 5.15.2 Vector Quantization Using Neural Networks -- 5.15.3 Self-Organizing Feature Map -- Summary -- Review Questions -- Chapter 6: Image Segmentation -- 6.1 Introduction -- 6.2 Detection of Isolated Points -- 6.3 Line Detection -- 6.4 Edge Detection -- 6.4.1 Gradient Operators -- 6.4.2 Laplacian Operator -- 6.5 Edge Linking and Boundary Detection -- 6.5.1 Local Processing -- 6.5.2 Global Processing Using Graph Theoretic Approach -- 6.6 Region-Oriented Segmentation -- 6.6.1 Basic Rules for Segmentation -- 6.6.2 Region Growing by Pixel Aggregation -- 6.6.3 Region Splitting and Merging -- 6.7 Segmentation Using Threshold -- 6.7.1 Fundamental Concepts.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6.7.2 Optimal Thresholding -- 6.7.3 Threshold Selection Based on Boundary Characteristics -- 6.7.4 Use of Motion in Segmentation -- 6.8 Accumulative Difference Image -- Summary -- Review Questions -- Chapter 7: Image Restoration -- 7.1 Introduction -- 7.2 Degradation Model -- 7.3 Degradation Model for Continuous Functions -- 7.4 Discrete Degradation Model -- 7.5 Estimation of Degradation Function -- 7.6 Estimation by Experimentation -- 7.7 Estimation by Modeling -- 7.8 Inverse Filtering Approach -- 7.9 Least Mean Square Filter -- 7.10 Interactive Restoration -- 7.11 Constrained Least Squares Restoration -- 7.11.1 Geometric Transformations -- 7.11.2 Spatial Transformations -- 7.11.3 Gray Level Interpolation -- Summary -- Review Questions -- Chapter 8: Image Representation and Description -- 8.1 Introduction -- 8.2 Boundary Representation Using Chain Codes -- 8.3 Boundary Representation Using Line Segments -- 8.4 Boundary Representation Using Signature -- 8.5 Shape Number -- 8.6 Fourier Descriptors -- 8.7 Moments -- 8.8 Region Representation -- 8.8.1 Run-Length Codes -- 8.8.2 Quad Tree -- 8.8.3 Skeletons -- 8.9 Regional Descriptors -- 8.10 Topological Descriptors -- 8.11 Texture -- 8.11.1 Statistical Approach -- 8.11.2 Structural Approach -- 8.12 Relational Descriptors -- Summary -- Review Questions -- Chapter 9: Pattern Classification Methods -- 9.1 Introduction -- 9.2 Statistical Pattern Classification Methods -- 9.2.1 Supervised and Unsupervised Learning Methods -- 9.2.2 Parametric Approaches -- 9.2.3 Nonparametric Approaches -- 9.2.4 Deterministic Trainable Classification Algorithms -- 9.3 Artificial Intelligence Approach in Pattern Classification -- 9.4 ANN Approaches in Pattern Classification -- 9.4.1 Backpropagation Training Algorithm for MLP Classifier -- 9.4.2 Experimentation With MLP Classifier -- 9.4.3 Classification of Mechanical Components.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9.4.4 Prediction of Subsidence in Coal -- 9.4.5 Kohonen's Self-Organizing Map (SOM) Network -- 9.5 Supervised Feedforward Fuzzy Neural Network -- 9.5.1 Fuzzy Neuron -- 9.5.2 Structure of the Fuzzy Neural Classifier -- 9.5.3 Dynamically Organizing SFFNN Learning Algorithm -- 9.5.4 Analysis of the SFFNN Classifier -- 9.5.5 Experimental Results -- 9.5.6 Simulation -- 9.6 Syntactic Pattern Recognition -- 9.6.1 Formal Language Theory -- 9.7 Types of Grammar -- 9.8 Syntactic Recognition Problem Using Formal Language -- 9.9 Image Knowledge Base -- 9.9.1 Frames -- 9.9.2 Predicate Logic -- Summary -- Review Questions -- Illustrations -- Bibliography -- Index.
520 ## - SUMMARY, ETC.
Summary, etc Fundamentals of Digital Image Processing clearly discusses the five fundamental aspects of digital image processing namely, image enhancement, transformation, segmentation, compression and restoration. Presented in a simple and lucid manner, the book aims to provide the reader a sound and firm theoretical knowledge on digital image processing. It is supported by large number of colored illustrations.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shammugalakshmi, R.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Annadurai, S.
Title Fundamentals of Digital Image Processing
Place, publisher, and date of publication Noida : Pearson India,c2006
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/cethalassery/detail.action?docID=5124889">https://ebookcentral.proquest.com/lib/cethalassery/detail.action?docID=5124889</a>
Public note Click to View
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Materials specified (bound volume or other part) Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification Online access     CENTRAL LIBRARY Digital Library Digital Library 04/01/2019   621.367 ANN-F E0007 04/01/2019 04/01/2019 E- Books
Powered by Koha ILS
Page Design & Customization: Library Web Team CE Thalassery