Vision Systems: Segmentation and Pattern Recognition

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.

Book Description

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.

Table of Contents

• Energy Feature Integration for Motion Segmentation
• Natural Scene Text Understanding
• Image Similarity based on a Distributional “Metric” for Multivariate Data
• The Theory of Edge Detection and Low-level Vision in Retrospect
• Green’s Functions of Matching Equations: A Unifying Approach for Low-level Vision Problems
• Robust Feature Detection Using 2D Wavelet Transform under Low Light Environment
• Genetic Algorithms: Basic Ideas, Variants and Analysis
• Genetic Algorithm for Linear Feature Extraction
• Recognition of Partially Occluded Elliptical Objects using Symmetry on Contour
• Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics
• Pseudogradient Estimation of Digital Images Interframe Geometrical Deformations
• Anisotropic Filtering Techniques applied to Fingerprints
• Data Fusion in a Hierarchical Segmentation Context: The Case of Building Roof Description
• Compression of Spectral Images
• Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging
• Multimodal Range Image Segmentation
• Moving Cast Shadow Detection
• Reaction-Diffusion Algorithm for Vision Systems
• A Parallel Framework for Image Segmentation Using Region Based Techniques
• A Real-Time Solution to the Image Segmentation Problem: CNN-Movels
• Optimizing Mathematical Morphology for Image Segmentation and Vision-based Path Planning in Robotic Environments
• Manipulative Action Recognition for Human-Robot Interaction
• Image Matching based on Curvilinear Regions
• An Overview of Advances of Pattern Recognition Systems in Computer Vision
• Robust Microarray Image Processing
• Computer Vision for Microscopy Applications
• Real-Time Pattern Recognition with Adaptive Correlation Filters

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