Handbook of Image and Video Processing, 2nd Edition

4.12

Adaptive and Neural Methods for Image Segmentation

Joydeep Ghosh,     The University of Texas at Austin

1 Introduction

2 Artificial Neural Networks

3 Perceptual Grouping and Edge-based Segmentation

4 Adaptive Multichannel Modeling for Texture-based Segmentation

5 An Optimization Framework

6 Image Segmentation via Adaptive Clustering

7 Oscillation-Based Segmentation

8 Integrated Segmentation and Recognition

9 Concluding Remarks

Acknowledgments

References

1 Introduction

The tremendous amount of research in image processing and analysis over the past three decades has been influenced not only by physiologic or psychophysic discoveries and psychologic observations about perception by living beings, but also by advances in signal processing, ...