You are previewing Research Developments in Computer Vision and Image Processing.
O'Reilly logo
Research Developments in Computer Vision and Image Processing

Book Description

Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Preface
    1. SCHOLARLY VALUE, POTENTIAL CONTRIBUTION/IMPACT, AND PURPOSE
    2. POTENTIAL USES/INTENDED AUDIENCE
    3. ORGANIZATION OF THE BOOK
  7. Acknowledgment
  8. Section 1: Image Representation and Reconstruction
    1. Chapter 1: Image Representation Using a Sparsely Sampled Codebook for Super-Resolution
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PROPOSED SR METHOD
      5. EXPERIMENTAL RESULTS AND DISCUSSIONS
      6. CONCLUSION
    2. Chapter 2: 3D Reconstruction Using Multiple View Stereo and a Brief Introduction to Kinect
      1. ABSTRACT
      2. INTRODUCTION
      3. FUNDAMENTALS OF PROJECTIVE GEOMETRY AND PROJECTIVE CAMERA MODELS
      4. 3D POINT ESTIMATION
      5. FUTURE RESEARCH
    3. Chapter 3: An Introduction to Wavelet-Based Image Processing and its Applications
      1. ABSTRACT
      2. INTRODUCTION TO WAVELETS AND MULTI-RESOLUTION ANALYSIS
      3. CONCLUSION
    4. Chapter 4: Computational Models of Visual Attention
      1. ABSTRACT
      2. INTRODUCTION
      3. NEURAL PATHWAY
      4. PSYCHO-VISUAL THEORIES/EXPERIMENTS AS FOUNDATIONS FOR VISUAL ATTENTION MODELS
      5. BOTTOM-UP MODELS FOR VISUAL ATTENTION
      6. TOP-DOWN MODELS OF VISUAL ATTENTION
      7. OTHER IMPOTANT ASPECTS OF VISUAL ATTENTION MODELS
      8. EVALUATION OF VISUAL ATTENTION MODELS
      9. FUTURE RESEARCH DIRECTIONS
      10. CONCLUSION
    5. Chapter 5: A Brief Review on Recent Trends in Image Restoration
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CHOICE OF THE PERFORMANCE METRICS
      5. IMAGE DENOISING APPROACHES IN THE DECADE
      6. CONCLUSION
      7. DIRECTIONS FOR FUTURE RESEARCH
    6. Chapter 6: Image Enhancement and Restoration Methods for Underwater Images
      1. ABSTRACT
      2. INTRODUCTION
      3. APPLICATIONS
      4. RELATED WORK
      5. EVALUATION CRITERIA
      6. OUR APPROACH
      7. EXPERIMENTAL RESULTS
      8. FUTURE DIRECTIONS
      9. CONCLUSION
    7. Chapter 7: Computer Vision Based Technique for Surface Defect Detection of Apples
      1. ABSTRACT
      2. INTRODUCTION
      3. APPLE GRADING SYSTEM
      4. SURFACE DEFECT DETECTION OF APPLES
      5. RELATED WORK
      6. OUR APPROACH FOR SURFACE DEFECT DETECTION OF APPLES
      7. IMAGE PRE-PROCESSING
      8. DEFECT SEGMENTATION
      9. EXPERIMENTAL RESULTS
      10. FUTURE DIRECTIONS
      11. CONCLUSION
  9. Section 2: Medical Applications
    1. Chapter 8: Image Analysis and Understanding Techniques for Breast Cancer Detection from Digital Mammograms
      1. ABSTRACT
      2. INTRODUCTION
      3. STEPS INVOLVED IN THE DESIGN OF A CAD TOOL
      4. CLASSIFICATION
      5. A CASE STUDY: DESIGN AND IMPLEMENTATION OF A CAD TOOL FOR CANCER DETECTION FROM MAMMOGRAMS
      6. CONCLUSION
      7. FUTURE DIRECTIONS FOR RESEARCH
    2. Chapter 9: De-Noising, Clustering, Classification, and Representation of Microarray Data for Disease Diagnostics
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FFT
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    3. Chapter 10: Detection of Cancer from Microscopic Biopsy Images Using Image Processing Tools
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. STEPS INVOLVED IN DETECTION OF CANCER FROM BIOPSY IMAGES USING IMAGE PROCESSING TOOL
      5. CONCLUSION
      6. FUTURE DIRECTION FOR RESEARCH
    4. Chapter 11: Digital Image Watermarking
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. INVESTIGATION METHODOLOGY
      5. RESULTS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    5. Chapter 12: Biomedical Watermarking
      1. ABSTRACT
      2. INTRODUCTION
      3. GENERALISED BIO-MEDICAL IMAGE WATERMARKING FRAMEWORK
      4. ATTACKS AND DISTORTIONS
      5. IMAGE QUALITY METRICS
      6. OVERVIEW OF THE PREVIOUS WORK
      7. NEW TYPES OF BIOMEDICAL IMAGE WATERMARKING TECHNIQUES
      8. RESULTS AND DISCUSSIONS:
      9. CONCLUSION
      10. FUTURE DIRECTIONS FOR RESEARCH
    6. Chapter 13: Electrical Impedance Tomography (EIT)
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MEDICAL IMAGING
      5. COMPUTED TOMOGRAPHY (CT)
      6. PRESENT SCENARIO OF MEDICAL IMAGING
      7. ELECTRICAL IMPEDANCE TOMOGRAPHY (EIT)
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
    7. Chapter 14: Research and Developments in Medical Image Reconstruction Methods and its Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. RECENT ADVANCES IN BIOMEDICAL IMAGING SYSTEMS
      4. THE FUTURE OF MEDICAL VISUALISATION
      5. CONCLUSION
      6. FUTURE DIRECTIONS FOR RESEARCH
      7. APPENDIX: LINKING WITH OTHER MODALITIES
    8. Chapter 15: Automatic MRI Brain Image Segmentation Using Gravitational Search-Based Clustering Technique
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. VALIDATION AND DISCUSSIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    9. Chapter 16: Survey of Medical Image Compression Techniques and Comparative Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. AD HOC COMPRESSION TECHNIQUES
      5. DICTIONARY BASED SCHEMES
      6. PREDICTION BASED CODING TECHNIQUES
      7. TRANSFORM BASED CODING TECHNIQUES
      8. OTHER COMPRESSION TECHNIQUES
      9. MAIN FOCUS OF THIS CHAPTER
      10. THE PROPOSED FAST EMBEDDED SIGNIFICANT AND ZERO SET CODING IN HIERARCHICAL
      11. FUTURE RESEARCH DIRECTIONS
      12. CONCLUSION
    10. Chapter 17: Analysis of Blood Smear and Detection of White Blood Cell Types Using Harris Corner
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERARY REVIEW
      4. METHODOLOGY
      5. PROPOSED ALGORITHM
      6. EXPLANATION OF THE PROPOSED METHOD
      7. RESULT AND DISCUSSION
      8. CONCLUSION
  10. Compilation of References
  11. About the Contributors