Author:

Sonka, Milan  Search this

Hlavac, Vaclav  Search this

Boyle, Roger  Search this

Physical description:

xix, 555 pages : illustrations ; 24 cm

Type:

Books

Date:

1993

Notes:

MSC copy is a signed presentation copy.

Contents:

8.1. Image understanding control strategies. 8.2. Active contour models -- snakes. 8.3. Pattern recognition methods in image understanding. 8.4. Scene labelling and constraint propagation. 8.5. Semantic image segmentation and understanding -- 9. 3D Vision. 9.1. Strategy. 9.2. Line labelling. 9.3. Shape from X. 9.4. Approaches to the recognition of 3D objects. 9.5. Depth map technologies -- 9.6. Summary -- 10. Mathematical morphology. 10.1. Basic principles and morphological transformations. 10.2. Skeleton and other topological processing -- 11. Linear discrete image transforms. 11.1. Basic theory. 11.2. The Fourier transform. 11.3. Hadamard transforms. 11.4. Discrete cosine transform. 11.5. Other discrete image transforms. 11.6. Applications of discrete image transforms -- 12. Image data compression. 12.1. Image data properties. 12.2. Discrete image transforms in image data compression. 12.3. Predictive compression methods. 12.4. Vector quantization. 12.5. Pyramid compression methods

12.6. Comparison of compression methods. 12.7. Other techniques -- 13. Texture. 13.1. Statistical texture description. 13.2. Syntactic texture description methods. 13.3. Hybrid texture description methods. 13.4. Texture recognition method applications -- 14. Motion analysis. 14.1. Differential motion analysis methods. 14.2. Optical flow. 14.3. Motion analysis based on detection of interest points

Summary:

Vision allows humans to perceive and understand the world surrounding them; computer vision aims to duplicate human vision by electronically perceiving and understanding an image. Image Processing, Analysis and Machine Vision is a comprehensive introduction to the field providing up-to-date coverage of all aspects of the subject.

This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision and Intelligent Robotics, it is also influenced by their active research in these area. Many algorithms, diagrams, examples and up-to-date references make this book required reading for students and professionals involved in computer vision.

Topic:

Image processing  Search this

Computer vision  Search this

Image analysis  Search this

Data Source:

Smithsonian Libraries

EDAN-URL:

edanmdm:siris_sil_1108614