Pattern Recognition in Practice Ii.

By: Kanal, L. NContributor(s): Gelsema, E. SMaterial type: TextTextSeries: eBooks on DemandPublisher: Amsterdam : Elsevier Science & Technology, 2012Copyright date: ©1986Description: 1 online resource (589 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780444599223Subject(s): Depth perception -- Congresses | Image processing -- Congresses | Pattern perception -- CongressesGenre/Form: Electronic books.Additional physical formats: Print version:: Pattern Recognition in Practice IiDDC classification: 006.4 LOC classification: Q327.P378 1986Online resources: Click here to view this ebook.
Contents:
Front Cover -- Pattern Recognition in Practice II -- Copyright Page -- Table of Contents -- Preface -- Acknowledgements -- PART I: IMAGE PROCESSING -- SECTION I: IMAGE PROCESSING TECHNIQUES -- CHAPTER 1. Choosing Filter Parameters for Non-Linear Image Filtering -- Introduction -- Estimating the Size Distribution: The Erosion Filter -- Estimating the Size Distribution: The Distance Transform -- Definition of Distance -- Summary and Conclusions -- References -- CHAPTER 2. IMAGE RESTORATION AS AN IDENTIFICATION AND FILTERING PROBLEM -- 1. INTRODUCTION -- 2. IMAGE REPRESENTATION -- 3. MODEL DECOMPOSITION AND FILTER DESIGN -- 4. BLUR IDENTIFICATION -- 5. EXPERIMENTS -- 6. DISCUSSION -- REFERENCES -- CHAPTER 3. TWO NON-LINEAR IMAGE ENHANCEMENT ALGORITMS -- 1. INTRODUCTION -- 2. ALTERNATIVE METHODS OF ENHANCEMENT -- 3. LATERAL INHIBITION ALGORITM -- FLOW DIAGRAM -- 4. RESPONSES OF THE CVRS ALGORITM -- FLOW DIAGRAM -- 5. RESPONSES TO ACTUAL PICTURES -- COMPARISON -- 6. CONCLUSION -- 7. references -- CHAPTER 4. LOCAL TRANSFORMATIONS TO SIMULATE CRYSTAL GROWTH -- INTRODUCTION -- LOCAL TRANSFORMATIONS IN IMAGE ANALYSIS -- CELLULAR AUTOMATA FORMALISM -- CRYSTAL GROWTH -- PARAMETRIZATION OF SHAPES -- CONCLUSION -- REFERENCES -- CHAPTER 5. PHOTOGRAMMETRIC STANDARD METHODS AND DIGITAL IMAGE MATCHING TECHNIQUES FOR HIGH PRECISION SURFACE MEASUREMENTS -- 0. INTRODUCTION -- 1. METHODOLOGY OF ANALYTICAL PHOTOGRAMMETRY -- 2. QUALITY OF DIGITAL CORRELATION -- 3. RESULTS OF HIGH PRECISION POINT AND SURFACE MEASUREMENTS -- 4. CONCLUSIONS -- REFERENCES -- CHAPTER 6. LENGTH ESTIMATORS COMPARED -- INTRODUCTION -- LENGTH MEASUREMENT METHODS -- THE COMPARISON FOR STRAIGHT BOUNDARIES -- RESULTS -- COMPUTATIONAL ASPECTS -- CONCLUSIONS AND RECOMMENDATIONS -- ACKNOWLEDGEMENT -- REFERENCES.
CHAPTER 7. CUBIC FACET MODEL EDGE DETECTOR AND RIDGE-VALLEY DETECTOR: IMPLEMENTATION DETAILS -- INTRODUCTION -- II THE FACET EDGE DETECTOR -- Ill THE FACET RIDGE VALLEY OPERATOR -- REFERENCES -- CHAPTER 8. QUANTITATIVE EVALUATION OF EDGE DETECTION BY DYNAMIC PROGRAMMING -- INTRODUCTION -- THE METHOD -- THE ALGORITHM -- EXAMPLE -- EVALUATION -- EXPERIMENTS -- COMPARISON WITH PARALLEL METHODS -- REFERENCES -- CHAPTER 9. A PRETOPOLOGICAL TEXTURE MODEL, A MULTIPARAMETRIC IMAGE MODEL AND A HIERARCHICAL CLASSIFICATION METHOD FOR THE ANALYSIS OF DIGITIZED IMAGES -- INTRODUCTION -- THE MATHEMATICAL MODEL -- DEFINITION OF A PRETOPOLOGICAL TEXTURE SPACE -- THE CLASSIFICATION MODEL -- METHODS -- DISCUSSION -- REFERENCES -- CHAPTER 10. PROBABILISTIC LABELING IN A HIDDEN SECOND ORDER MARKOV MESH -- 1· Introduction -- 2. Linear Time Recurrence -- 3. Experimental Results -- REFERENCES -- CHAPTER 11. Abstract Dato Types ond Multiprocessor Architecture for Imoge Understanding -- Introduction -- Image Understanding -- Fifth Generation Computer -- Virtual Image Understanding Machine -- References -- CHAPTER 12. NEW RESULTS IN COMPUTATIONAL GEOMETRY RELEVANT TO PATTERN RECOGNITION IN PRACTICE -- 1. INTRODUCTION -- 2. COMPUTING CONVEX HULLS WITH ROTATING CALIPERS -- 3. TRIANGULATING AN ANNULUS IN LINEAR TIME WITH THE ROTATING CALIPERS -- 4. INTERSECTING TWO CONVEX POLYGONS -- ALGORITHM INTERCONPOL -- REFERENCES -- SECTION II: KNOWLEDGE BASED AND MODEL DRIVEN SYSTEMS -- CHAPTER 13. DOCUMENT ANALYSIS WITH AN EXPERT SYSTEM -- INTRODUCTION -- DOCUMENT DECOMPOSITION -- KNOWLEDGE BASE FOR LABEL ASSIGNMENT -- LABELING RULES AND ALGORITHMS FOR LABEL ASSIGNMENT -- CONCLUSION -- REFERENCES -- CHAPTER 14. INTERPRETATION OF INDUSTRIAL SCENES USING AUGMENTED TRANSITION NETWORKS AND PRODUCTION SYSTEMS: PROCEDURAL VS. DECLARATIVE MODELS -- 1. INTRODUCTION.
2. DESCRIPTION OF THE TWO APPROACHES -- 3. DISCUSSION -- 4. REFERENCES -- CHAPTER 15. MODEL BASED INTERPRETATION OF IMAGE SEQUENCES FROM THE HEART -- 2. Introduction -- 3. System overview -- 4. Results -- REFERENCES -- CHAPTER 16. SHAPE CLASSIFICATION BASED ON DYNAMIC MODELLING PROCEDURE -- 1. INTRODUCTION -- 2. DYNAMIC MODELLING PROCEDURE (DMP) -- 3. DMP FOR SHAPE -- 4. RESULTS AND DISCUSSION -- Acknowledgement -- References -- CHAPTER 17. Hierarchical Correlation for Fast Industrial Object Location -- Introduction -- processing elements as PE -- Combining Processor (CP) -- The processing elements (PE) -- Application examples - what are the several layers used for -- Conclusions -- References -- CHAPTER 18. MODEL-BASED RECOGNITION AND LOCATION OF LOCAL PATTERNS IN POLYGONAL CONTOURS VIA HYPOTHESIS ACCUMULATION -- INTRODUCTION -- CONCLUSION -- REFERENCES -- SECTION III: 3-D RECONSTRUCTION -- CHAPTER 19. THE USE OF PATTERN RECOGNITION TO ESTIMATE THREE-DIMENSIONAL SHAPE FROM TOPOGRAPHIC LABELING OF IMAGES -- INTRODUCTION -- IMAGING GEOMETRY -- ILLUMINATION MODEL -- EXTRACTING TOPOGRAPHIC STRUCTURES -- SHAPE FROM TOPOGRAPHIC PATTERNS -- METHOD 1: THE EXPERIMENTAL APPROACH -- METHOD 2: THE ANALYTICAL APPROACH -- CASE 2: POSITIVE GRADIENT MAGNITUDE -- OTHER CONIC SURFACES -- CLASSIFICATION OF OBJECT SURFACES -- AREAL STRUCTURES -- HILLSIDES -- LINE AND POINT STRUCTURES -- RESULTS -- ANALYTICAL RESULTS FOR THE CYLINDER -- ANALYTICAL RESULTS FOR THE SPHERE -- EXPERIMENTAL RESULTS -- RESULTS FOR THE OTHER CONIC SURFACES -- SUMMARY -- BIBLIOGRAPHY -- CHAPTER 20. THREE-DIMENSIONAL POSE COMPUTATIONS FROM MULTIPLE VIEWS -- INTRODUCTION -- 2. PASSIVE SENSING WITH A CAMERA AND SUPPORT PLANE -- 3. 6-PARANETER POSE VIA ACTIVE SENSING WITH CAMERA AND PROJECTOR -- 4. DISCUSSION -- 5. REFERENCES.
CHAPTER 21. Optimal Statistical Techniques for Combining Pieces of Information Applied to 3-D Complex Object Position Estimation -- 1. Introduction -- 2. On Some Asymptotic Forms For The Likelihood Of Large Data Sets -- 3. Modeling Complex Objects and 3-D Measurements -- 4. Object Position Estimation -- 5. Incorporating 3-D Edge Information -- 6. Conclusions -- Acknowledgement -- References -- CHAPTER 22. 3D RECONSTRUCTION OF SPATIO-TEMPORAL SERIES OF OPTICAL PICTURES -- INTRODUCTION -- COMPUTER HARDWARE -- PICTURE MANAGEMENT SYSTEM -- IMAGE ANALYSIS AND DISPLAY PROGRAMS -- APPLICATION -- METHOD -- RESULT -- CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- CHAPTER 23. ANALYSIS OF HISTOLOGICAL SERIAL SECTIONS -- INTRODUCTION -- MATERIAL AND METHODS -- PREPROCESSING OF SERIAL SECTIONS -- TRIANGULATION -- SHADED SURFACE DISPLAY -- RESULTS -- DISCUSSION -- ACKNOWLEDGEMENTS -- REFERENCES -- CHAPTER 24. DIRECT 3D RECONSTRUCTION FROM PROJECTIONS WITH INITIALLY UNKNOWN ANGLES -- 1. Introduction -- 2. Multivariate statistical analysis and classification of images -- 3. Classification of 1D projections for 2D tomography -- 4. Classification of 2D projections for direct 3D reconstruction -- 5. Reconstruction from projections with initially unknown angles -- References -- SECTION IV: APPLICATIONS -- CHAPTER 25. FINDING THE CHARACTERISTIC VIEWS OF MACROMOLECULES IN EXTREMELY NOISY ELECTRON MICROGRAPHS. -- INTRODUCTION -- AVERAGING -- ALIGNMENT -- MULTIVARIATE STATISTICAL DATA COMPRESSION -- CLASSIFICATION -- MULTI-REFERENCE ALIGNMENT PROCEDURE -- DISCUSSION -- ACKNOWLEDGEMENTS -- REFERENCES -- CHAPTER 26. AUTOMATED ANALYSIS OF DIGITAL IMAGES GENERATED BY TWO-DIMENSIONAL GEL ELECTROPHORESIS -- INTRODUCTION -- THE COMPUTER SYSTEM -- BACKGROUND SUBTRACTION -- SPOT DETECTION AND QUANTIFICATION -- VALIDATION OF THE ANALYSIS METHOD -- COMPARISON OF GEL IMAGES.
DISCUSSION -- ACKNOWLEDGEMENT -- REFERENCES -- CHAPTER 27. USE OF MODELS IN THE RECOGNITION OF PATTERNS OF CELLULAR MOVEMENT -- INTRODUCTION -- MOVEMENT OF LYSOSOMES - GRAPHICAL & STATISTICAL TECHNIQUES -- MODEL OF LYSOSOME MOVEMENT -- CONCLUSIONS -- REFERENCES -- CHAPTER 28. COMPUTER COLOUR VISION: AUTOMATED SEGMENTATION OF HISTOLOGICAL TISSUE SECTIONS -- INTRODUCTION -- THE METHOD -- BIOLOGICAL MATERIAL AND HARDWARE -- AN EXAMPLE -- DISCUSSION -- LITERATURE -- ACKNOWLEDGEMENTS -- CHAPTER 29. ARTERY DETECTION AND ANALYSIS IN CINE-ANGIOGRAMS -- INTRODUCTION -- METHODOLOGY -- APPLICATIONS -- ANALYSIS OF RETINAL ANGIOGRAMS -- Acknowledgements -- References -- CHAPTER 30. INDUSTRIAL PATTERN RECOGNITION -- I. INTRODUCTION -- II. PATTERN RECOGNITION -- III. SYSTEM ASPECTS -- IV. HIGH SPEED PATTERN RECOGNITION USING HARDWARE PROCESSING -- V. CONCLUSION -- VI. ACKNOWLEDGMENTS -- VII. REFERENCES -- CHAPTER 31. COMPUTER AIDED ANALYSIS OF SCHEMATIC DIAGRAMS -- 1 INTRODUCTION -- 2 OVERVIEW OF THE METHOD -- 3 IMAGE INPUT AND PREPROCESSING -- 4 SEPARATION AND SEGMENTATION -- 5 HARDWARE DEVELOPMENTS -- 6 CLASSIFICATION OF THE OBJECTS -- 7 CONCLUSIONS -- 8 ACKNOWLEDGEMENT -- 9 REFERENCES -- CHAPTER 32. AUTOMATIC TECHNIQUES FOR EXTRACTION OF GEOLOGICAL FRACTURE PATTERNS -- I. INTRODUCTION -- II. BACKGROUND -- III. SYSTEM OVERVIEW -- IV. EXPERIMENTS ON LANDSAT TM DATA USING LOW LEVEL OPERATORS -- V. FUTURE RESEARCH AND WORK -- ACKNOWLEDGMENT -- REFERENCES -- PART II: PATTERN RECOGNITION -- SECTION V: FEATURE EXTRACTION CLASSIFICATION MAPPING -- CHAPTER 33. COMPUTATIONAL COMPLEXITY AND VLSI IMPLEMENTATION OF AN OPTIMAL FEATURE SELECTION STRATEGY+ -- 1. INTRODUCTION -- 2. THE TRAINING MODE -- 3.0 SIMULATION OF THE METHOD -- 4.0 COMPUTATIONAL COMPLEXITY AND VLSI IMPLEMENTATION -- 5.0 CONCLUSIONS -- ACKNOWLEDGEMENT -- REFERENCES.
CHAPTER 34. ROTATION-INVARIANT PATTERN RECOGNITION USING OPTIMUM FEATURE EXTRACTION.
Summary: The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications. The first part of the book covers various methodological aspects of image processing, knowledge based and model driven image understanding systems, 3-D reconstruction methods, and application oriented papers. Part II deals with aspects of statistical pattern recognition, the problem of population classification, and topics common to both pattern recognition and artificial intelligence.
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Front Cover -- Pattern Recognition in Practice II -- Copyright Page -- Table of Contents -- Preface -- Acknowledgements -- PART I: IMAGE PROCESSING -- SECTION I: IMAGE PROCESSING TECHNIQUES -- CHAPTER 1. Choosing Filter Parameters for Non-Linear Image Filtering -- Introduction -- Estimating the Size Distribution: The Erosion Filter -- Estimating the Size Distribution: The Distance Transform -- Definition of Distance -- Summary and Conclusions -- References -- CHAPTER 2. IMAGE RESTORATION AS AN IDENTIFICATION AND FILTERING PROBLEM -- 1. INTRODUCTION -- 2. IMAGE REPRESENTATION -- 3. MODEL DECOMPOSITION AND FILTER DESIGN -- 4. BLUR IDENTIFICATION -- 5. EXPERIMENTS -- 6. DISCUSSION -- REFERENCES -- CHAPTER 3. TWO NON-LINEAR IMAGE ENHANCEMENT ALGORITMS -- 1. INTRODUCTION -- 2. ALTERNATIVE METHODS OF ENHANCEMENT -- 3. LATERAL INHIBITION ALGORITM -- FLOW DIAGRAM -- 4. RESPONSES OF THE CVRS ALGORITM -- FLOW DIAGRAM -- 5. RESPONSES TO ACTUAL PICTURES -- COMPARISON -- 6. CONCLUSION -- 7. references -- CHAPTER 4. LOCAL TRANSFORMATIONS TO SIMULATE CRYSTAL GROWTH -- INTRODUCTION -- LOCAL TRANSFORMATIONS IN IMAGE ANALYSIS -- CELLULAR AUTOMATA FORMALISM -- CRYSTAL GROWTH -- PARAMETRIZATION OF SHAPES -- CONCLUSION -- REFERENCES -- CHAPTER 5. PHOTOGRAMMETRIC STANDARD METHODS AND DIGITAL IMAGE MATCHING TECHNIQUES FOR HIGH PRECISION SURFACE MEASUREMENTS -- 0. INTRODUCTION -- 1. METHODOLOGY OF ANALYTICAL PHOTOGRAMMETRY -- 2. QUALITY OF DIGITAL CORRELATION -- 3. RESULTS OF HIGH PRECISION POINT AND SURFACE MEASUREMENTS -- 4. CONCLUSIONS -- REFERENCES -- CHAPTER 6. LENGTH ESTIMATORS COMPARED -- INTRODUCTION -- LENGTH MEASUREMENT METHODS -- THE COMPARISON FOR STRAIGHT BOUNDARIES -- RESULTS -- COMPUTATIONAL ASPECTS -- CONCLUSIONS AND RECOMMENDATIONS -- ACKNOWLEDGEMENT -- REFERENCES.

CHAPTER 7. CUBIC FACET MODEL EDGE DETECTOR AND RIDGE-VALLEY DETECTOR: IMPLEMENTATION DETAILS -- INTRODUCTION -- II THE FACET EDGE DETECTOR -- Ill THE FACET RIDGE VALLEY OPERATOR -- REFERENCES -- CHAPTER 8. QUANTITATIVE EVALUATION OF EDGE DETECTION BY DYNAMIC PROGRAMMING -- INTRODUCTION -- THE METHOD -- THE ALGORITHM -- EXAMPLE -- EVALUATION -- EXPERIMENTS -- COMPARISON WITH PARALLEL METHODS -- REFERENCES -- CHAPTER 9. A PRETOPOLOGICAL TEXTURE MODEL, A MULTIPARAMETRIC IMAGE MODEL AND A HIERARCHICAL CLASSIFICATION METHOD FOR THE ANALYSIS OF DIGITIZED IMAGES -- INTRODUCTION -- THE MATHEMATICAL MODEL -- DEFINITION OF A PRETOPOLOGICAL TEXTURE SPACE -- THE CLASSIFICATION MODEL -- METHODS -- DISCUSSION -- REFERENCES -- CHAPTER 10. PROBABILISTIC LABELING IN A HIDDEN SECOND ORDER MARKOV MESH -- 1· Introduction -- 2. Linear Time Recurrence -- 3. Experimental Results -- REFERENCES -- CHAPTER 11. Abstract Dato Types ond Multiprocessor Architecture for Imoge Understanding -- Introduction -- Image Understanding -- Fifth Generation Computer -- Virtual Image Understanding Machine -- References -- CHAPTER 12. NEW RESULTS IN COMPUTATIONAL GEOMETRY RELEVANT TO PATTERN RECOGNITION IN PRACTICE -- 1. INTRODUCTION -- 2. COMPUTING CONVEX HULLS WITH ROTATING CALIPERS -- 3. TRIANGULATING AN ANNULUS IN LINEAR TIME WITH THE ROTATING CALIPERS -- 4. INTERSECTING TWO CONVEX POLYGONS -- ALGORITHM INTERCONPOL -- REFERENCES -- SECTION II: KNOWLEDGE BASED AND MODEL DRIVEN SYSTEMS -- CHAPTER 13. DOCUMENT ANALYSIS WITH AN EXPERT SYSTEM -- INTRODUCTION -- DOCUMENT DECOMPOSITION -- KNOWLEDGE BASE FOR LABEL ASSIGNMENT -- LABELING RULES AND ALGORITHMS FOR LABEL ASSIGNMENT -- CONCLUSION -- REFERENCES -- CHAPTER 14. INTERPRETATION OF INDUSTRIAL SCENES USING AUGMENTED TRANSITION NETWORKS AND PRODUCTION SYSTEMS: PROCEDURAL VS. DECLARATIVE MODELS -- 1. INTRODUCTION.

2. DESCRIPTION OF THE TWO APPROACHES -- 3. DISCUSSION -- 4. REFERENCES -- CHAPTER 15. MODEL BASED INTERPRETATION OF IMAGE SEQUENCES FROM THE HEART -- 2. Introduction -- 3. System overview -- 4. Results -- REFERENCES -- CHAPTER 16. SHAPE CLASSIFICATION BASED ON DYNAMIC MODELLING PROCEDURE -- 1. INTRODUCTION -- 2. DYNAMIC MODELLING PROCEDURE (DMP) -- 3. DMP FOR SHAPE -- 4. RESULTS AND DISCUSSION -- Acknowledgement -- References -- CHAPTER 17. Hierarchical Correlation for Fast Industrial Object Location -- Introduction -- processing elements as PE -- Combining Processor (CP) -- The processing elements (PE) -- Application examples - what are the several layers used for -- Conclusions -- References -- CHAPTER 18. MODEL-BASED RECOGNITION AND LOCATION OF LOCAL PATTERNS IN POLYGONAL CONTOURS VIA HYPOTHESIS ACCUMULATION -- INTRODUCTION -- CONCLUSION -- REFERENCES -- SECTION III: 3-D RECONSTRUCTION -- CHAPTER 19. THE USE OF PATTERN RECOGNITION TO ESTIMATE THREE-DIMENSIONAL SHAPE FROM TOPOGRAPHIC LABELING OF IMAGES -- INTRODUCTION -- IMAGING GEOMETRY -- ILLUMINATION MODEL -- EXTRACTING TOPOGRAPHIC STRUCTURES -- SHAPE FROM TOPOGRAPHIC PATTERNS -- METHOD 1: THE EXPERIMENTAL APPROACH -- METHOD 2: THE ANALYTICAL APPROACH -- CASE 2: POSITIVE GRADIENT MAGNITUDE -- OTHER CONIC SURFACES -- CLASSIFICATION OF OBJECT SURFACES -- AREAL STRUCTURES -- HILLSIDES -- LINE AND POINT STRUCTURES -- RESULTS -- ANALYTICAL RESULTS FOR THE CYLINDER -- ANALYTICAL RESULTS FOR THE SPHERE -- EXPERIMENTAL RESULTS -- RESULTS FOR THE OTHER CONIC SURFACES -- SUMMARY -- BIBLIOGRAPHY -- CHAPTER 20. THREE-DIMENSIONAL POSE COMPUTATIONS FROM MULTIPLE VIEWS -- INTRODUCTION -- 2. PASSIVE SENSING WITH A CAMERA AND SUPPORT PLANE -- 3. 6-PARANETER POSE VIA ACTIVE SENSING WITH CAMERA AND PROJECTOR -- 4. DISCUSSION -- 5. REFERENCES.

CHAPTER 21. Optimal Statistical Techniques for Combining Pieces of Information Applied to 3-D Complex Object Position Estimation -- 1. Introduction -- 2. On Some Asymptotic Forms For The Likelihood Of Large Data Sets -- 3. Modeling Complex Objects and 3-D Measurements -- 4. Object Position Estimation -- 5. Incorporating 3-D Edge Information -- 6. Conclusions -- Acknowledgement -- References -- CHAPTER 22. 3D RECONSTRUCTION OF SPATIO-TEMPORAL SERIES OF OPTICAL PICTURES -- INTRODUCTION -- COMPUTER HARDWARE -- PICTURE MANAGEMENT SYSTEM -- IMAGE ANALYSIS AND DISPLAY PROGRAMS -- APPLICATION -- METHOD -- RESULT -- CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- CHAPTER 23. ANALYSIS OF HISTOLOGICAL SERIAL SECTIONS -- INTRODUCTION -- MATERIAL AND METHODS -- PREPROCESSING OF SERIAL SECTIONS -- TRIANGULATION -- SHADED SURFACE DISPLAY -- RESULTS -- DISCUSSION -- ACKNOWLEDGEMENTS -- REFERENCES -- CHAPTER 24. DIRECT 3D RECONSTRUCTION FROM PROJECTIONS WITH INITIALLY UNKNOWN ANGLES -- 1. Introduction -- 2. Multivariate statistical analysis and classification of images -- 3. Classification of 1D projections for 2D tomography -- 4. Classification of 2D projections for direct 3D reconstruction -- 5. Reconstruction from projections with initially unknown angles -- References -- SECTION IV: APPLICATIONS -- CHAPTER 25. FINDING THE CHARACTERISTIC VIEWS OF MACROMOLECULES IN EXTREMELY NOISY ELECTRON MICROGRAPHS. -- INTRODUCTION -- AVERAGING -- ALIGNMENT -- MULTIVARIATE STATISTICAL DATA COMPRESSION -- CLASSIFICATION -- MULTI-REFERENCE ALIGNMENT PROCEDURE -- DISCUSSION -- ACKNOWLEDGEMENTS -- REFERENCES -- CHAPTER 26. AUTOMATED ANALYSIS OF DIGITAL IMAGES GENERATED BY TWO-DIMENSIONAL GEL ELECTROPHORESIS -- INTRODUCTION -- THE COMPUTER SYSTEM -- BACKGROUND SUBTRACTION -- SPOT DETECTION AND QUANTIFICATION -- VALIDATION OF THE ANALYSIS METHOD -- COMPARISON OF GEL IMAGES.

DISCUSSION -- ACKNOWLEDGEMENT -- REFERENCES -- CHAPTER 27. USE OF MODELS IN THE RECOGNITION OF PATTERNS OF CELLULAR MOVEMENT -- INTRODUCTION -- MOVEMENT OF LYSOSOMES - GRAPHICAL & STATISTICAL TECHNIQUES -- MODEL OF LYSOSOME MOVEMENT -- CONCLUSIONS -- REFERENCES -- CHAPTER 28. COMPUTER COLOUR VISION: AUTOMATED SEGMENTATION OF HISTOLOGICAL TISSUE SECTIONS -- INTRODUCTION -- THE METHOD -- BIOLOGICAL MATERIAL AND HARDWARE -- AN EXAMPLE -- DISCUSSION -- LITERATURE -- ACKNOWLEDGEMENTS -- CHAPTER 29. ARTERY DETECTION AND ANALYSIS IN CINE-ANGIOGRAMS -- INTRODUCTION -- METHODOLOGY -- APPLICATIONS -- ANALYSIS OF RETINAL ANGIOGRAMS -- Acknowledgements -- References -- CHAPTER 30. INDUSTRIAL PATTERN RECOGNITION -- I. INTRODUCTION -- II. PATTERN RECOGNITION -- III. SYSTEM ASPECTS -- IV. HIGH SPEED PATTERN RECOGNITION USING HARDWARE PROCESSING -- V. CONCLUSION -- VI. ACKNOWLEDGMENTS -- VII. REFERENCES -- CHAPTER 31. COMPUTER AIDED ANALYSIS OF SCHEMATIC DIAGRAMS -- 1 INTRODUCTION -- 2 OVERVIEW OF THE METHOD -- 3 IMAGE INPUT AND PREPROCESSING -- 4 SEPARATION AND SEGMENTATION -- 5 HARDWARE DEVELOPMENTS -- 6 CLASSIFICATION OF THE OBJECTS -- 7 CONCLUSIONS -- 8 ACKNOWLEDGEMENT -- 9 REFERENCES -- CHAPTER 32. AUTOMATIC TECHNIQUES FOR EXTRACTION OF GEOLOGICAL FRACTURE PATTERNS -- I. INTRODUCTION -- II. BACKGROUND -- III. SYSTEM OVERVIEW -- IV. EXPERIMENTS ON LANDSAT TM DATA USING LOW LEVEL OPERATORS -- V. FUTURE RESEARCH AND WORK -- ACKNOWLEDGMENT -- REFERENCES -- PART II: PATTERN RECOGNITION -- SECTION V: FEATURE EXTRACTION CLASSIFICATION MAPPING -- CHAPTER 33. COMPUTATIONAL COMPLEXITY AND VLSI IMPLEMENTATION OF AN OPTIMAL FEATURE SELECTION STRATEGY+ -- 1. INTRODUCTION -- 2. THE TRAINING MODE -- 3.0 SIMULATION OF THE METHOD -- 4.0 COMPUTATIONAL COMPLEXITY AND VLSI IMPLEMENTATION -- 5.0 CONCLUSIONS -- ACKNOWLEDGEMENT -- REFERENCES.

CHAPTER 34. ROTATION-INVARIANT PATTERN RECOGNITION USING OPTIMUM FEATURE EXTRACTION.

The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications. The first part of the book covers various methodological aspects of image processing, knowledge based and model driven image understanding systems, 3-D reconstruction methods, and application oriented papers. Part II deals with aspects of statistical pattern recognition, the problem of population classification, and topics common to both pattern recognition and artificial intelligence.

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