The perception of visual information:
This book examines the current status of what is known (and not known) about human vision, how human observers interpret visual data, and how to present such data to facilitate their interpretation and use. Written by experts who are able to cross disciplinary boundaries, the book provides an educat...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | German |
| Veröffentlicht: |
New York [u.a.]
Springer
1997
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | This book examines the current status of what is known (and not known) about human vision, how human observers interpret visual data, and how to present such data to facilitate their interpretation and use. Written by experts who are able to cross disciplinary boundaries, the book provides an educational pathway through several models of human vision; describes how the visual response is analyzed and quantified; presents current theories of how the human visual response is interpreted; discusses the cognitive responses of human observers; and examines such applications as space exploration, manufacturing, surveillance, earth and air sciences, and medicine. The book is intended for everyone with an undergraduate-level background in science or engineering with an interest in visual science. |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XVIII, 409 S. Ill., graph. Darst. |
| ISBN: | 0387949100 |
Internformat
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| 245 | 1 | 0 | |a The perception of visual information |c William R. Hendee ; Peter N. T. Wells ed. |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a New York [u.a.] |b Springer |c 1997 | |
| 300 | |a XVIII, 409 S. |b Ill., graph. Darst. | ||
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| 500 | |a Literaturangaben | ||
| 520 | 3 | |a This book examines the current status of what is known (and not known) about human vision, how human observers interpret visual data, and how to present such data to facilitate their interpretation and use. Written by experts who are able to cross disciplinary boundaries, the book provides an educational pathway through several models of human vision; describes how the visual response is analyzed and quantified; presents current theories of how the human visual response is interpreted; discusses the cognitive responses of human observers; and examines such applications as space exploration, manufacturing, surveillance, earth and air sciences, and medicine. The book is intended for everyone with an undergraduate-level background in science or engineering with an interest in visual science. | |
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| 650 | 4 | |a Image Processing, Computer-Assisted | |
| 650 | 4 | |a Vision | |
| 650 | 4 | |a Vision, Ocular |x physiology | |
| 650 | 4 | |a Visual Perception | |
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Datensatz im Suchindex
| _version_ | 1804126090537467904 |
|---|---|
| adam_text | Contents
Preface to the Second Edition v
Preface to the First Edition vii
Acknowledgments ix
Contributors xvii
1 Physiological Optics 1
Peter F. Sharp and Russell Philips
1.1 Introduction 1
1.2 Optical Anatomy of the Eye 1
1.3 Aberrations of the Eye 3
1.3.1 Spherical Aberration 3
1.3.2 Chromatic Aberration 4
1.3.3 Oblique Astigmatism and Coma 4
1.3.4 Curvature of Field 4
1.4 The Visual Pathways 4
1.4.1 Photoreceptors 4
1.4.2 Bipolar, Ganglion, Horizontal, and Amacrine Cells 5
1.4.3 Lateral Geniculate Nucleus 12
1.4.4 Primary Visual Cortex 13
1.5 Mechanisms of Viewing 19
1.6 ColorVision 22
1.7 Physical Performance of the Visual System 24
1.7.1 Spectral Sensitivity 24
1.7.2 Incremental Brightness Sensitivity 24
1.7.3 Spatial Response 25
1.7.4 Temporal Response 25
1.7.5 Dynamic Range 26
1.8 Information Transfer Rates 27
1.9 References 30
2 Detection of Vision Information 33
Charles A. Kelsey
2.1 Introduction 33
2.2 Early Theories of Vision 33
2.2.1 The Evil Eye 34
2.3 Simple Experiments 35
2.3.1 Inverted Image on the Retina 35
2.3.2 Blind Spot 36
xii Contents
2.3.3 Horizontal and Vertical Detectors 37
2.3.4 Mach Bands 38
2.3.5 The Craik, Cornsweet, O Brien Illusion 38
2.3.6 Herman Hering Grid 39
2.3.7 The Moon Illusion 40
2.4 Adaptation and After Images 42
2.4.1 Stimulus and Sensation 44
2.5 Three Dimensional Vision 44
2.6 Stereoscopic Viewing 45
2.7 Cross Eyed Technique of Three Dimensional Viewing 47
2.8 Models of the Visual System 47
2.8.1 Feature Detection 47
2.8.2 The Bottom Up and Top Down Models 49
2.8.3 Ideal Observer Studies 49
2.8.4 Computational Models 50
2.8.5 Preattentive and Attentive Processing Textons 51
2.9 References 53
3 Quantification of Visual Capability 57
Arthur P. Ginsburg and William R. Hendee
3.1 Introduction 57
3.2 Visual Acuity 57
3.3 Contrast Sensitivity 60
3.4 Visual Physiology 60
3.5 Visual Filtering 61
3.5.1 Sine Wave Gratings 61
3.5.2 Contrast Sensitivity Function 63
3.5.3 Channel Filter Images 64
3.6 Causes of Vision Loss 67
3.7 Detection and Identification of Visual Signals 67
3.7.1 Measuring Contrast Sensitivity 69
3.7.2 Sine Wave Grating and Low Contrast Letter Charts 71
3.7.3 Test Modalities for Contrast Sensitivity 78
3.7.4 Interpreting Contrast Sensitivity: EyeView 79
3.7.5 Glare Testing 81
3.7.6 Applications to Imaging 82
3.8 Conclusions 83
3.9 References 83
4 A Multiscale Geometric Model of Human Vision 87
Bart M. Ter Haar Romeny and Luc Florack
4.1 Introduction 87
4.2 Scale Space 90
4.3 Scaled Differential Operators 96
4.4 Image Structure 98
4.5 Description of the Early Vision System 99
4.6 Differential Invariants 103
4.7 Applications H5
4.8 Discussion 120
4.9 References 124
Contents xiii
5 Human Response to Visual Stimuli 127
Alastair G. Gale
5.1 Introduction 127
5.2 Measuring Human Responses 127
5.2.1 Low Intensity Signals 127
5.2.2 Intense Stimuli 129
5.3 Complex Stimuli 130
5.3.1 Selective Visual Attention 130
5.3.2 Visual Scanning 131
5.3.3 Matching Image and Observer Characteristics 133
5.3.4 Focal Attention and Observer Factors 134
5.3.5 Individual Differences 140
5.3.6 Improving diagnostic accuracy 140
5.4 References 141
6 Cognitive Interpretation of Visual Signals 149
William R. Hendee
6.1 Early Views of Cognition 149
6.2 Western Philosophical Speculations on Cognition 150
6.3 Visual Texture Discrimination 154
6.4 Illusions 158
6.4.1 Ambiguities 159
6.4.2 Distortions 160
6.4.3 Paradoxes 161
6.4.4 Fictions 162
6.4.5 Summary 163
6.5 Color Vision 163
6.6 References 173
7 Visual Data Formatting 177
Ulrich Raff
7.1 Introduction 177
7.2 Brightness, Contrast, and Details 179
7.3 Texture Discrimination and Edge Detection 187
7.4 Medical Imaging and Information 208
7.5 Visual Information and Communication 212
7.6 Conclusions 217
7.7 References 218
8 Image Manipulation 223
Ronald R. Price
8.1 Introduction: The Digital Image 223
8.2 Interpolation 224
8.3 Gray Level Manipulation 225
8.4 Filtering 228
8.5 Geometric Processing and Image Co Registration 238
8.6 Image Subtraction 241
8.7 Segmentation 242
8.8 Maximum Intensity Projection 246
8.9 Conclusion 248
8.10 References 248
xiv Contents
9 Physical and Psychophysical Measurement of Images 251
Kevin S. Berbaum, Donald D. Dorfman, and Mark Madsen
9.1 Introduction 251
9.2 Physical Measurements of Image Quality 254
9.2.1 Image Formation 255
9.2.2 Spatial Resolution 257
9.2.3 Noise 258
9.2.4 Signal to Noise Ratio 260
9.3 Limitations of Physical Analysis 266
9.4 Measuring Observer Performance: Basic Principles of ROC analysis . . .269 ;
9.5 General Issues Regarding the Use of ROC Methods in Medical Imaging
Research 277
9.5.1 Diagnostic Truth 277
9.5.2 Sampling 278
9.5.3 Statistical Precision and Power 279
9.5.4 Absolute versus Relative Performance 280
9.5.5 AFROC and FFE Analysis 280
9.5.6 Detection Methodology Applied to a Classification Problem . . . 282
9.6 Statistical Issues in ROC Analysis 284
9.6.1 Fitting Individual ROC Curves 286
9.7 References 287
10 Computer Vision and Decision Support 297
Henry A. Swett, Maryellen L. Giger, and Kunio Doi
10.1 Introduction 297
10.2 Computer Vision 298
10.2.1 Image Processing 299
10.2.2 Image Segmentation 301
10.2.3 Feature Analysis 301
10.3 Computer Vision Examples 303
10.3.1 Mammography 303
10.3.2 Chest Radiography 310
10.4 Decision Support 320
10.4.1 Clinical Algorithms 321
10.4.2 Mathematical and Casual Models of Physical Processes 322
10.4.3 Statistical Pattern Matching Techniques 322
10.4.4 Decision Theory 323
10.4.5 Connectionism 323
10.4.6 Symbolic Reasoning and Expert Systems 323
10.4.7 Critiquing Systems 325
10.4.8 Knowledge Filters 326
10.5 A Decision Support Example: Mammography 326
10.6 Combining Decision Support and Computer Vision 331
10.7 References 333
11 Architecture and Ergonomics of Imaging Workstations 343
Paul S. Cho and H.K. Huang
11.1 Architecture of Imaging Workstation 343
11.1.1 Image Processing Hardware 343
11.1.2 Display Monitor 345
11.1.3 Image Storage Devices 350
11.2 Examples of Imaging Workstation 351
11.2.1 Diagnostic Workstation 352
Contents xv
11.2.2 Review Workstation 352
11.2.3 Analysis Workstation 353
11.2.4 Digitizing and Printing Workstation 353
11.2.5 Interactive Teaching Workstation 354
11.2.6 Editorial and Research Workstation 354
11.3 Ergonomics oflmaging Workstation 355
11.3.1 Glare 355
11.3.2 Ambient Illuminance 357
11.3.3 User Interface 357
11.3.4 Multiple Display 358
11.4 References 358
12 Virtual Reality and Augmented Reality in Medicine 361
David Hawkes
12.1 Introduction 361
12.1.1 Virtual Reality 362
12.1.2 Augmented Reality 362
12.1.3 Tele Presence 363
12.1.4 Real Time 363
12.2 Medical Applications of VR Technology 364
12.2.1 Teaching 364
12.2.2 Surgical Simulation and Training 365
12.2.3 Planning and Simulation of a Specific Procedure 365
12.2.4 Image Guided Surgery 366
12.2.5 Remote Manipulation, Tele Surgery, and Mentoring 366
12.2.6 Remote Consultation and Rehabilitation 367
12.3 Augmented Reality in Image Guided Surgery 367
12.3.1 Three Dimensional Medical Imaging 367
12.3.2 Applications in Skull Base Surgery and Neurosurgery 373
12.3.3 Visual Perception in Augmented Reality 379
12.4 Conclusions and Future Work 384
12.5 References 385
13 Problems and Prospects in the Perception of Visual Information 391
Peter N. T. Wells
13.1 Aspects of Visual Perception 391
13.1.1 Physiological Optics 391
13.1.2 Detection of Visual Information 392
13.1.3 Interpretation of Visual Images 392
13.1.4 A Multiscale Geometric Model of Human Vision 392
13.1.5 Human Response to Visual Stimuli 393
13.1.6 Cognitive Interpretation of Visual Signals 394
13.1.7 Visual Data Formatting 394
13.1.8 Image Manipulation 395
13.1.9 Physical and Psychophysical Measurement of Images 396
13.1.10 Computer Vision and Decision Support 397
13.1.11 Architecture and Ergonomics of Image Workstations 397
13.1.12 Virtual Reality and Augmented Reality in Medicine 398
13.2 Conclusions 398
13.3 References 399
Index 401
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| indexdate | 2024-07-09T18:11:56Z |
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| isbn | 0387949100 |
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| spelling | The perception of visual information William R. Hendee ; Peter N. T. Wells ed. 2. ed. New York [u.a.] Springer 1997 XVIII, 409 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben This book examines the current status of what is known (and not known) about human vision, how human observers interpret visual data, and how to present such data to facilitate their interpretation and use. Written by experts who are able to cross disciplinary boundaries, the book provides an educational pathway through several models of human vision; describes how the visual response is analyzed and quantified; presents current theories of how the human visual response is interpreted; discusses the cognitive responses of human observers; and examines such applications as space exploration, manufacturing, surveillance, earth and air sciences, and medicine. The book is intended for everyone with an undergraduate-level background in science or engineering with an interest in visual science. Computer vision Image Processing, Computer-Assisted Vision Vision, Ocular physiology Visual Perception Visual perception Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Visuelle Wahrnehmung (DE-588)4078921-4 gnd rswk-swf Visuelle Kommunikation (DE-588)4131112-7 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Visuelle Kommunikation (DE-588)4131112-7 s DE-604 Visuelle Wahrnehmung (DE-588)4078921-4 s Maschinelles Sehen (DE-588)4129594-8 s 1\p DE-604 Hendee, William R. Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007787151&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | The perception of visual information Computer vision Image Processing, Computer-Assisted Vision Vision, Ocular physiology Visual Perception Visual perception Maschinelles Sehen (DE-588)4129594-8 gnd Visuelle Wahrnehmung (DE-588)4078921-4 gnd Visuelle Kommunikation (DE-588)4131112-7 gnd |
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| title | The perception of visual information |
| title_auth | The perception of visual information |
| title_exact_search | The perception of visual information |
| title_full | The perception of visual information William R. Hendee ; Peter N. T. Wells ed. |
| title_fullStr | The perception of visual information William R. Hendee ; Peter N. T. Wells ed. |
| title_full_unstemmed | The perception of visual information William R. Hendee ; Peter N. T. Wells ed. |
| title_short | The perception of visual information |
| title_sort | the perception of visual information |
| topic | Computer vision Image Processing, Computer-Assisted Vision Vision, Ocular physiology Visual Perception Visual perception Maschinelles Sehen (DE-588)4129594-8 gnd Visuelle Wahrnehmung (DE-588)4078921-4 gnd Visuelle Kommunikation (DE-588)4131112-7 gnd |
| topic_facet | Computer vision Image Processing, Computer-Assisted Vision Vision, Ocular physiology Visual Perception Visual perception Maschinelles Sehen Visuelle Wahrnehmung Visuelle Kommunikation Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007787151&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT hendeewilliamr theperceptionofvisualinformation |