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Vision in man and machine

Vision in man and machine

Material type
단행본
Personal Author
Levine, Martin D. , 1938-.
Title Statement
Vision in man and machine / Martin D. Levine.
Publication, Distribution, etc
New York :   McGraw-Hill ,   c1985.  
Physical Medium
xvi, 574 p. : ill. (some col.) ; 24 cm.
Series Statement
McGraw-Hill series in electrical engineering. Computer engineering
ISBN
0070374465
Bibliography, Etc. Note
Includes bibliographies and index.
Subject Added Entry-Topical Term
Image processing -- Digital techniques.
000 00856camuu2200265 a 4500
001 000045412114
005 20080220175604
008 840918s1985 nyua b 001 0 eng
010 ▼a 84021827
020 ▼a 0070374465
035 ▼a (KERIS)REF000014227697
040 ▼d 211009
050 0 ▼a TA1632 ▼b .L48 1985
082 0 ▼a 001.53/4 ▼2 19
082 0 4 ▼a 006.3/7 ▼2 22
090 ▼a 006.37 ▼b L665v
100 1 ▼a Levine, Martin D. , ▼d 1938-.
245 1 0 ▼a Vision in man and machine / ▼c Martin D. Levine.
260 ▼a New York : ▼b McGraw-Hill , ▼c c1985.
300 ▼a xvi, 574 p. : ▼b ill. (some col.) ; ▼c 24 cm.
440 0 ▼a McGraw-Hill series in electrical engineering. ▼p Computer engineering
504 ▼a Includes bibliographies and index.
650 0 ▼a Image processing ▼x Digital techniques.
945 ▼a KINS

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.37 L665v Accession No. 121162466 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents


CONTENTS
Preface = xiii
Chapter 1 Introduction = 1
 1.1 Vision in Man and Machine = 1
 1.2 Psychophysics and Neurophysiology = 6
 1.3 Computer Vision = 9
 1.4 An Example of Computer Image Processing = 12
  References = 17
  Bibliography = 18
  Books Relevant to Computer Vision = 20
  Survey and Tutorial Articles = 22
Chapter 2 Computer Vision Systems = 25
 2.1 Introduction = 25
 2.2 Creating the Pictorial Information Source = 27
  2.2.1 Radiant Sources = 28
  2.2.2 Image Formation = 32
 2.3 Sensors and Digitizers = 38
 2.4 The Image Processor = 46
  References = 53
  Bibliography = 57
Chapter 3 Biological,Vision Systems = 59
 3.1 Introduction = 59
 3.2 The Optical System = 60
 3.3 Electrooptical Receptors = 71
 3.4 The Visual Pathway = 79
 3.5 Signal Coding and Processing = 85
  References = 96
  Bibliography = 97
Chapter 4 Biological Signal Processing = 100
 4.1 Introduction = 100
 4.2 Receptive Fields = 101
 4.3 Visual Resolving Power = 110
  4.3.1 Visual Acuity = 110
  4.3.2 Contrast Sensitivity = 115
 4.4 Photometry = 121
 4.5 A Model of the Human Visual System = 132
  4.5.1 Nonlinear Coding of Input Signals = 133
  4.5.2 A System Model = 141
   References = 145
   Bibliography = 148
Chapter 5 Edge Detection = 151
 5.1 The Sex Life of a Jumping Spider = 151
 5.2 Feature Detection in Animals = 153
 5.3 Characteristics of Edges = 170
 5.4 Parallel Scanning Methods = 176
  5.4.1 Directional Differentiation = 176
  5.4.2 Mask Operators = 181
  5.4.3 Multichannel Methods = 188
  5.4.4 Thresholding the Gradient Picture = 195
 5.5 Sequential Scanning Methods = 198
  References = 204
  Bibliography = 209
Chapter 6 Spatial and Frequency-Domain Processing = 211
 6.1 Introduction = 211
 6.2 Data Interaction in Biological Systems = 213
  6.2.1 Local Spatial Interaction = 213
  6.2.2 Global Interaction = 225
 6.3 A Biological Spectrum Analyzer? = 233
 6.4 Image Coding = 251
  6.4.1 From Mars to Earth = 251
  6.4.2 Spatial-Domain Coding = 253
  6.4.3 Transform Coding = 260
 6.5 Frequency-Domain Filtering = 266
  6.5.1 Introduction = 266
  6.5.2 Restoration = 268
  6.5.3 Enhancement = 282
 6.6 Spatial-Domain Processing = 289
  6.6.1 Point Operations = 289
  6.6.2 Neighborhood Operations = 295
   References = 300
   Bibliography = 308
Chapter 7 Color = 313
 7.1 Why Do Frogs Prefer Blue? = 313
 7.2 Color Coding at the Cellular Level = 316
 7.3 A Practical Psychological Model = 326
  7.3.1 A Color Matching Model = 326
  7.3.2 Color Blindness = 334
  7.3.3 An Opponent Theory Model = 338
 7.4 Color Description = 343
 7.5 Color Processing by Computer = 354
  References = 365
  Bibliography = 368
Chapter 8 Organization and Aggregation = 371
 8.1 Introduction = 371
 8.2 Data Organization at the Cellular Level = 372
 8.3 Region Analysis = 385
  8.3.1 Proximity and Similarity = 385
  8.3.2 Merging Regions = 390
  8.3.3 Splitting Regions = 394
 8.4 Competition and Cooperation = 404
  References = 414
  Bibliography = 419
Chapter 9 Texture = 422
 9.1 Introduction = 422
 9.2 Texture Analysis as Region Segmentation = 426
  9.2.1 A Multichannel Model for Texture Analysis = 426
  9.2.2 A Conjecture = 434
  9.2.3 Attribute Aggregation = 437
 9.3 Statistical Methods = 440
  9.3.1 Introduction = 440
  9.3.2 Texture as a Spatial Frequency = 441
  9.3.3 Simple Texture Measures = 448
  9.3.4 Second-Order Statistics = 453
 9.4 Structural Methods = 460
  References = 470
  Bibliography = 478
Chapter 10 Shape = 480
 10.1 A Multitude of Theories = 480
 10.2 Simple Shape Features = 485
  10.2.1 Along the Border = 485
  10.2.2 Toads and Robots = 494
 10.3 Space-Domain Techniques 504
  10.3.1 "Where Is the Kidney Bean, the Tadpole?" [33] = 504
  10.3.2 Shape from Projections = 518
 10.4 Scalar Transform Techniques = 526
  References = 532
  Bibliography = 544
Appendix: Student Projects = 545
Index = 561


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