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About the 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. |
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Table of Contents
01Energy Feature Integration for Motion Segmentation
02Multimodal Range Image Segmentation
03Moving Cast Shadow Detection
04Reaction-Diffusion Algorithm for Vision Systems
05A Parallel Framework for Image Segmentation Using Region Based Techniques
06A Real-Time Solution to the Image Segmentation Problem: CNN-Movels
08Manipulative Action Recognition for Human-Robot Interaction
09Image Matching based on Curvilinear Regions
10An Overview of Advances of Pattern Recognition Systems in Computer Vision
11Robust Microarray Image Processing
12Computer Vision for Microscopy Applications
14Compression of Spectral Images
15Data Fusion in a Hierarchical Segmentation Context: The Case of Building Roof Description
16Natural Scene Text Understanding
17Image Similarity based on a Distributional "Metric" for Multivariate Data
18The Theory of Edge Detection and Low-level Vision in Retrospect
19Green's Functions of Matching Equations: A Unifying Approach for Low-level Vision Problems
20Robust Feature Detection Using 2D Wavelet Transform under Low Light Environment
21Genetic Algorithms: Basic Ideas, Variants and Analysis
22Genetic Algorithm for Linear Feature Extraction
23Recognition of Partially Occluded Elliptical Objects using Symmetry on Contour
24Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics
25Pseudogradient Estimation of Digital Images Interframe Geometrical Deformations
26Anisotropic Filtering Techniques applied to Fingerprints
27Real-Time Pattern Recognition with Adaptive Correlation Filters