Advances in Image and Video Segmentation, 1st Edition

  • Published By:
  • ISBN-10: 1591407559
  • ISBN-13: 9781591407553
  • Grade Level Range: College Freshman - College Senior
  • 457 Pages | eBook
  • Original Copyright 2006 | Published/Released November 2006
  • This publication's content originally published in print form: 2006

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About

Overview

Image and video segmentation is one of the most critical tasks of image and video analysis: extracting information from an image or a sequence of images. In the last 40 years, this field has experienced significant growth and development, and has resulted in a virtual explosion of published information. Advances in Image and Video Segmentation brings together the latest results from researchers involved in state-of-the art work in image and video segmentation, providing a collection of modern works made by more than 50 experts around the world.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Image and Video Segmentation: Table of Contents.
Preface.
Acknowledgments.
1: Introduction.
2: An Overview of Image and Video Segmentation in the Last 40 Years.
3: Image Segmentation.
4: Optimal Image Segmentation Methods Based on Energy Minimization.
5: Variational Problems in Image Segmentation and Γ-Convergence Methods.
6: A Graph-Based Image Segmentation Algorithm Using a Hierarchical Social Metaheuristic.
7: Modeling Complex Dynamic Systems for Image Segmentation.
8: Video Segmentation.
9: Joint Space-Time-Range Mean Shift-Based Image and Video Segmentation.
10: Fast Automatic Video Object Segmentation for Content-Based Applications.
11: A Fully Automated Active Shape Model for the Segmentation and Tracking of Unknown Objects in a Cluttered Environment.
12: Video Shot Boundary Detection and Scene Segmentation.
13: Segmenting Particular Images.
14: Color Image Segmentation in Both Feature and Image Spaces.
15: Optimizing Texture Primitive Description, Analysis, Segmentation, and Classification Using Variography.
16: Methods and Applications for Segmenting 3D Medical Image Data.
17: Parallel Segmentation of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology.
18: Special Segmentation Applications.
19: Fuzzy Clustering-Based Approaches in Automatic Lip Segmentation from Color Images.
20: Mathematical Morphology-Based Automatic Restoration and Segmentation for Degraded Machine-Printed Character Images.
21: Segmentation in Food Images.
22: Segmentation via Thresholding Methodologies by Using Measure of Fuzziness Towards Blind Navigation.
23: Segmentation Evaluation.
24: Unsupervised and Supervised Image Segmentation Evaluation.
25: Objective Evaluation of Video Segmentation Quality.
26: A Summary of Recent Progresses for Segmentation Evaluation.
About the Authors.
Index.