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Algorithms for image processing and computer vision / J.R. Parker
Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Indianapolis, IN : Wiley Pub, 2011Auflage: 2nd ed (Online-Ausg.)Beschreibung: Online-Ressource (1 online resource (xxiv, 480 p.)) : illISBN:- 9781282944220
- 1282944223
- 9781118019627
- 621.367028551
- 621.36/7/028551 22
- 621.367
- TA1637
Inhalte:
Zusammenfassung: A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It's an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.Zusammenfassung: Intro -- Algorithms for Image Processing and Computer Vision -- Contents -- Preface -- Chapter 1 Practical Aspects of a Vision System - Image Display, Input/Output, and Library Calls -- OpenCV -- The Basic OpenCV Code -- The IplImage Data Structure -- Reading and Writing Images -- Image Display -- An Example -- Image Capture -- Interfacing with the AIPCV Library -- Website Files -- References -- Chapter 2 Edge-Detection Techniques -- The Purpose of Edge Detection -- Traditional Approaches and Theory -- Models of Edges -- Noise -- Derivative Operators -- Template-Based Edge Detection -- Edge Models: The Marr-Hildreth Edge Detector -- The Canny Edge Detector -- The Shen-Castan (ISEF) Edge Detector -- A Comparison of Two Optimal Edge Detectors -- Color Edges -- Source Code for the Marr-Hildreth Edge Detector -- Source Code for the Canny Edge Detector -- Source Code for the Shen-Castan Edge Detector -- Website Files -- References -- Chapter 3 Digital Morphology -- Morphology Defined -- Connectedness -- Elements of Digital Morphology-Binary Operations -- Binary Dilation -- Implementing Binary Dilation -- Binary Erosion -- Implementation of Binary Erosion -- Opening and Closing -- MAX-A High-Level Programming Language for Morphology -- The ''Hit-and-Miss'' Transform -- Identifying Region Boundaries -- Conditional Dilation -- Counting Regions -- Grey-Level Morphology -- Opening and Closing -- Smoothing -- Gradient -- Segmentation of Textures -- Size Distribution of Objects -- Color Morphology -- Website Files -- References -- Chapter 4 Grey-Level Segmentation -- Basics of Grey-Level Segmentation -- Using Edge Pixels -- Iterative Selection -- The Method of Grey-Level Histograms -- Using Entropy -- Fuzzy Sets -- Minimum Error Thresholding -- Sample Results From Single Threshold Selection -- The Use of Regional Thresholds -- Chow and Kaneko.PPN: PPN: 809182645Package identifier: Produktsigel: ZDB-26-MYL | ZDB-38-EBR | ZDB-30-PAD | ZDB-30-PQE
""Title Page""; ""Copyright""; ""Dedication""; ""Credits""; ""About the Author""; ""About the Technical Editor""; ""Acknowledgments""; ""Preface""; ""Chapter 1 Practical Aspects of a Vision Systemâ€"Image Display, Input/Output, and Library Calls""; ""OpenCV""; ""The Basic OpenCV Code""; ""Image Capture""; ""Interfacing with the AIPCV Library""; ""Website Files""; ""References""; ""Chapter 2 Edge-Detection Techniques""; ""The Purpose of Edge Detection""; ""Traditional Approaches and Theory""; ""Edge Models: The Marr-Hildreth Edge Detector""; ""The Canny Edge Detector""
""The Shen-Castan (ISEF) Edge Detector""""A Comparison of Two Optimal Edge Detectors""; ""Color Edges""; ""Source Code for the Marr-Hildreth Edge Detector""; ""Source Code for the Canny Edge Detector""; ""Source Code for the Shen-Castan Edge Detector""; ""Website Files""; ""References""; ""Chapter 3 Digital Morphology""; ""Morphology Defined""; ""Connectedness""; ""Elements of Digital Morphologyâ€"Binary Operations""; ""Grey-Level Morphology""; ""Color Morphology""; ""Website Files""; ""References""; ""Chapter 4 Grey-Level Segmentation""; ""Basics of Grey-Level Segmentation""
""The Use of Regional Thresholds""""Relaxation Methods""; ""Moving Averages""; ""Cluster-Based Thresholds""; ""Multiple Thresholds""; ""Website Files""; ""References""; ""Chapter 5 Texture and Color""; ""Texture and Segmentation""; ""A Simple Analysis of Texture in Grey-Level Images""; ""Grey-Level Co-Occurrence""; ""Edges and Texture""; ""Energy and Texture""; ""Surfaces and Texture""; ""Fractal Dimension""; ""Color Segmentation""; ""Color Textures""; ""Website Files""; ""References""; ""Chapter 6 Thinning""; ""What Is a Skeleton?""; ""The Medial Axis Transform""
""Iterative Morphological Methods""""The Use of Contours""; ""Treating the Object as a Polygon""; ""Force-Based Thinning""; ""Source Code for Zhang-Suen/Stentiford/Holt Combined Algorithm""; ""Website Files""; ""References""; ""Chapter 7 Image Restoration""; ""Image Degradationsâ€"The Real World""; ""The Frequency Domain""; ""The Inverse Filter""; ""The Wiener Filter""; ""Structured Noise""; ""Motion Blurâ€"A Special Case""; ""The Homomorphic Filterâ€"Illumination""; ""Website Files""; ""References""; ""Chapter 8 Classification""; ""Objects, Patterns, and Statistics""
""Minimum Distance Classifiers""""Cross Validation""; ""Support Vector Machines""; ""Multiple Classifiersâ€"Ensembles""; ""Bagging and Boosting""; ""Website Files""; ""References""; ""Chapter 9 Symbol Recognition""; ""The Problem""; ""OCR on Simple Perfect Images""; ""OCR on Scanned Imagesâ€"Segmentation""; ""OCR on Fax Imagesâ€"Printed Characters""; ""Handprinted Characters""; ""The Use of Multiple Classifiers""; ""Printed Music Recognitionâ€"A Study""; ""Source Code for Neural Net Recognition System""; ""Website Files""; ""References""
""Chapter 10 Content-Based Searchâ€"Finding Images by Example""
Algorithms for Image Processing and Computer Vision; Contents; Preface; Chapter 1 Practical Aspects of a Vision System - Image Display, Input/Output, and Library Calls; Chapter 2 Edge-Detection Techniques; Chapter 3 Digital Morphology; Chapter 4 Grey-Level Segmentation; Chapter 5 Texture and Color; Chapter 6 Thinning; Chapter 7 Image Restoration; Chapter 8 Classification; Chapter 9 Symbol Recognition; Chapter 10 Content-Based Search - Finding Images by Example; Chapter 11 High-Performance Computing for Vision and Image Processing; Index;
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