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