Vision Systems
eBook - PDF

Vision Systems

Segmentation and Pattern Recognition

  1. 538 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Vision Systems

Segmentation and Pattern Recognition

About this book

Research in computer vision has exponentially increased in the last two decades due to the availability of cheap cameras and fast processors. This increase has also been accompanied by a blurring of the boundaries between the different applications of vision, making it truly interdisciplinary. In this book we have attempted to put together state-of-the-art research and developments in segmentation and pattern recognition.The first nine chapters on segmentation deal with advanced algorithms and models, and various applications of segmentation in robot path planning, human face tracking, etc. The later chapters are devoted to pattern recognition and covers diverse topics ranging from biological image analysis, remote sensing, text recognition, advanced filter design for data analysis, etc.

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Yes, you can access Vision Systems by Goro Obinata,Ashish Dutta, Goro Obinata, Ashish Dutta in PDF and/or ePUB format, as well as other popular books in Informatica & Elaborazione visiva dei dati. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Vision Systems - Segmentation and Pattern Recognition
  2. Preface
  3. Contents
  4. 1. Energy Feature Integration for Motion Segmentation
  5. 2. Multimodal Range Image Segmentation
  6. 3. Moving Cast Shadow Detection
  7. 4. Reaction-Diffusion Algorithm for Vision Systems
  8. 5. A Parallel Framework for Image Segmentation Using Region Based Techniques
  9. 6. A Real-Time solution to the image segmentation problem: CNN-Movels
  10. 7. Optimizing Mathematical Morphology for Image Segmentation and Vision-based Path Planningin Robotic Environments
  11. 8. Manipulative Action Recognition for Human-Robot Interaction
  12. 9. Image Matching based on Curvilinear Regions
  13. 10. An Overview of Advances of Pattern Recognition Systems in Computer Vision
  14. 11. Robust Microarray Image Processing
  15. 12. Computer Vision for Microscopy Applications
  16. 13. Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging
  17. 14. Compression of Spectral Images
  18. 15. Data Fusion in a Hierarchical Segmentation Context: The Case of Building Roof Description
  19. 16. Natural Scene Text Understanding
  20. 17. Image Similarity based on a Distributionalā€œMetricā€ for Multivariate Data
  21. 18. The Theory of Edge Detection and Low-levelVision in Retrospect
  22. 19. Green's Functions of Matching Equations: AUnifying Approach for Low-level VisionProblems
  23. 20. Robust Feature Detection Using 2D WaveletTransform under Low Light Environment
  24. 21. Genetic Algorithms: Basic Ideas, Variants and Analysis
  25. 22. Genetic Algorithm for Linear Feature Extraction
  26. 23. Recognition of Partially Occluded Elliptical Objects using Symmetry on Contour
  27. 24. Polygonal Approximation of Digital CurvesUsing the State-of-the-art Metaheuristics
  28. 25. Pseudogradient Estimation of Digital ImagesInterframe Geometrical Deformations
  29. 26. Anisotropic Filtering Techniques applied to Fingerprints
  30. 27. Real-Time Pattern Recognition with AdaptiveCorrelation Filters