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Pattern recognition and artificial intelligence : towards an integration : proceedings of an international workshop held in Amsterdam, May 18-20, 1988 /

This volume brings together the results of research into the methodology and applications of pattern recognition, with particular emphasis given to the incorporation of artificial intelligence methodologies into pattern recognition systems.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Gelsema, Edzard S., 1937-, Kanal, Laveen N.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : New York, N.Y., USA : North Holland ; Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., 1988.
Colección:Machine intelligence and pattern recognition ; v. 7.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Pattern recognition and artificial intelligence :  |b towards an integration : proceedings of an international workshop held in Amsterdam, May 18-20, 1988 /  |c edited by Edzard S. Gelsema and Laveen N. Kanal. 
260 |a Amsterdam ;  |a New York :  |b North Holland ;  |a New York, N.Y., USA :  |b Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co.,  |c 1988. 
300 |a 1 online resource (xv, 499 pages) :  |b illustrations 
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490 1 |a Machine intelligence and pattern recognition ;  |v v. 7 
504 |a Includes bibliographical references and indexes. 
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533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
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588 0 |a Print version record. 
520 |a This volume brings together the results of research into the methodology and applications of pattern recognition, with particular emphasis given to the incorporation of artificial intelligence methodologies into pattern recognition systems. 
505 0 |a Front Cover; Pattern Recognition and Artificial Intelligence: Towards an Integration; Copyright Page; PREFACE; ACKNOWLEDGEMENTS; Table of Contents; PART I: IMAGE PROCESSING; SECTION I: SYSTEMS; CHAPTER 1. ACUITY: IMAGE ANALYSIS FOR THE PERSONAL COMPUTER; 1. Introduction; 2. Using Acuity; 3. Preparing an Experiment; 4. Examining the Resulting Data; 5. Exporting Data from an Experiment; 6. Summary; References; CHAPTER 2. LILY: A SOFTWARE PACKAGE FOR IMAGE PROCESSING; 1. INTRODUCTION; 2. PROGRAMMING LANGUAGE CHOICE AND IT'S CONSEQUENCES; 3. STRUCTURE OF THE PACKAGE 
505 8 |a 4. DATA REPRESENTATION, STRUCTURES AND SYNTAX5. DOCUMENTATION; 6. MAINTENANCE AND DEVELOPMENT TOOLS; 7. IMAGE PROCESSING APPLICATIONS; 8. CONCLUSION; REFERENCES; CHAPTER 3. REAL TIME PROCESSING OF IMAGES; 1. INTRODUCTION; 2. DIFFERENT REAL-TIME REQUIREMENTS; 3. SYSTEMS WITH OPTIMAL RESPONSE-TIME; 4. SYSTEMS WITH OPTIMAL THROUGHPUT; 5. CONCLUSION; REFERENCES; DISCUSSIONS PART I, SECTION I; SECTION II: ALGORITHMS; CHAPTER 4. A NEW PROCEDURE FOR LINE ENHANCEMENT APPLIED TO FINGERPRINTS; 1. ROTATION-INVARIANT OPERATORS; 2. LINE DETECTION; 3. THE FINGERPRINT APPLICATION; CONCLUSIONS; REFERENCES 
505 8 |a CHAPTER 5. AN EDGE DETECTION MODEL BASED ON NON-LINEAR LAPLACEFILTERING1. INTRODUCTION; 2. EDGE DETECTION SCHEME; 3. EVALUATION PROCEDURE; 4. EXPERIMENTAL RESULTS; 5. COMPARISONS; 6. CONCLUSIONS; ACKNOWLEDGEMENT; REFERENCES; CHAPTER 6. PATTERN RECOGNITION BY DETECTION OF LOCAL SYMMETRIES; 1 INTRODUCTION; 2 MODELING THE LOCAL NEIGHBOURHOODS BY HARMONIC FUNCTIONS; 3 DETECTION OF LOCAL SYMMETRIES; 4 APPLICATIONS AND EXPERIMENTS; 5 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 7. ACCURATE MEASUREMENT OF SHAPE AT LOW RESOLUTION; 1. INTRODUCTION; 2. THE METHOD FOR HIGH ACCURACY; 3. CONCLUSION 
505 8 |a ACKNOWLEDGEMENTFOOTNOTES AND REFERENCES; CHAPTER 8. COMPUTING VISIBILITY PROPERTIES OF POLYGONS; Abstract; 1. INTRODUCTION; 2. VISIBILITY FROM A POINT; 3. VISIBILITY FROM AN EDGE; 4. DETERMINING THE VISIBILITY REGION FROM AN EDGE; 5. DETECTING THE VISIBILITY OF A POLYGON FROM AN EDGE; 6. DETECTING VISIBILITY BETWEEN TWO EDGES OF A POLYGON; REFERENCES; CHAPTER 9. USING VANISHING POINTS TO LOCATE OBJECTS WITH SIX DEGREES OF FREEDOM; 1. INTRODUCTION; 2. THE PROBLEM STATEMENT; 3. SOLUTION USING VANISHING POINTS; 4. ERROR ANALYSIS; 5. PRELIMINARY EXPERIMENTAL RESULTS; 6. CONCLUSION 
505 8 |a ACKNOWLEDGMENTSREFERENCES; CHAPTER 10. GRAPH CONSTRUCTION AND MATCHING FOR 3D OBJECT RECOGNITION; 1. INTRODUCTION; 2. PASSIVE APPROACH; 3. OVERVIEW OF IMPLEMENTATION; 4. 2D GRAPH BUILDING; 5. PRIMITIVE MATCHING AND 3D TRANSFORMS; 6. CONCLUSIONS; REFERENCES; CHAPTER 11. THREE-DIMENSIONAL RECONSTRUCTION OF MYOCARDIAL CONTRAST PERFUSION FROM BIPLANE CINEANGIOGRAMS.; 1. INTRODUCTION; 2. THREE-DIMENSIONAL RECONSTRUCTION BY MEANS OF LINEAR PROGRAMMING TECHNIQUES; 3. DETERMINATION OF THE OPTIMAL BIPLANE ANGIOGRAPHIC VIEWS; 4. MYOCARDIAL PERFUSION IMAGE ACQUISITION 
546 |a English. 
650 0 |a Pattern perception. 
650 0 |a Artificial intelligence. 
650 0 |a Image processing. 
650 0 |a Pattern recognition systems. 
650 0 |a Pattern perception  |v Congresses. 
650 0 |a Artificial intelligence  |v Congresses. 
650 0 |a Image processing  |v Congresses. 
650 0 |a Pattern recognition systems  |v Congresses. 
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700 1 |a Gelsema, Edzard S.,  |d 1937- 
700 1 |a Kanal, Laveen N. 
776 0 8 |i Print version:  |t Pattern recognition and artificial intelligence.  |d Amsterdam ; New York : North Holland ; New York, N.Y., USA : Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., 1988  |w (DLC) 88031025  |w (OCoLC)18683399 
830 0 |a Machine intelligence and pattern recognition ;  |v v. 7. 
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