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Vision Systems: Segmentation and Pattern Recognition
Edited by Goro Obinata and Ashish Dutta, ISBN 978-3-902613-05-9, Hard cover, 536 pages, Publisher: I-Tech Education and Publishing, Published: June 01, 2007 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
DOI: 10.5772/42
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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Book contents
- Chapter 1Energy Feature Integration for Motion Segmentation
- Chapter 2Natural Scene Text Understanding
- Chapter 3Image Similarity based on a Distributional "Metric" for Multivariate Data
- Chapter 4The Theory of Edge Detection and Low-level Vision in Retrospect
- Chapter 5Green's Functions of Matching Equations: A Unifying Approach for Low-level Vision Problems
- Chapter 6Robust Feature Detection Using 2D Wavelet Transform under Low Light Environment
- Chapter 7Genetic Algorithms: Basic Ideas, Variants and Analysis
- Chapter 8Genetic Algorithm for Linear Feature Extraction
- Chapter 9Recognition of Partially Occluded Elliptical Objects using Symmetry on Contour
- Chapter 10Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics
- Chapter 11Pseudogradient Estimation of Digital Images Interframe Geometrical Deformations
- Chapter 12Anisotropic Filtering Techniques applied to Fingerprints
- Chapter 13Data Fusion in a Hierarchical Segmentation Context: The Case of Building Roof Description
- Chapter 14Compression of Spectral Images
- Chapter 15Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging
- Chapter 16Multimodal Range Image Segmentation
- Chapter 17Moving Cast Shadow Detection
- Chapter 18Reaction-Diffusion Algorithm for Vision Systems
- Chapter 19A Parallel Framework for Image Segmentation Using Region Based Techniques
- Chapter 20A Real-Time Solution to the Image Segmentation Problem: CNN-Movels
- Chapter 21Optimizing Mathematical Morphology for Image Segmentation and Vision-based Path Planning in Robotic Environments
- Chapter 22Manipulative Action Recognition for Human-Robot Interaction
- Chapter 23Image Matching based on Curvilinear Regions
- Chapter 24An Overview of Advances of Pattern Recognition Systems in Computer Vision
- Chapter 25Robust Microarray Image Processing
- Chapter 26Computer Vision for Microscopy Applications
- Chapter 27Real-Time Pattern Recognition with Adaptive Correlation Filters
