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"Vision Systems Segmentation and Pattern Recognition" ed. by Goro Obinata and Ashish Dutta PDF eBook €1 buy download

"Vision Systems: Segmentation and Pattern Recognition" ed. by Goro Obinata and Ashish Dutta
InTeOpP | 2007 | ISBN: 3902613059 9783902613059 | 546 pages | PDF | 12 MB

In this book authors 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.

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




Download File Size:11.51 MB


"Vision Systems Segmentation and Pattern Recognition" ed. by Goro Obinata and Ashish Dutta PDF eBook
€1
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