Presents an unique focus on video processing
Focuses on the practical design and implementation of real systems for processing video data
Concise and accessible to a wide audience, without requiring a strong mathematical background
Presents an unique focus on video processing
Focuses on the practical design and implementation of real systems for processing video data
Concise and accessible to a wide audience, without requiring a strong mathematical background
Includes supplementary material: sn.pub/extras
Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.
This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YC
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r color representations.|
In order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects like object motion and changes in lighting.
This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data.
Topics and features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics, with the necessary basics covered in an appendix; presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website; concludes each chapter with pointers to additional concepts, methods and details not covered in the book; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.
Introduction
Image Acquisition
Color Images
Point Processing
Neighborhood Processing
Morphology
BLOB Analysis
Segmentation in Video Data
Tracking
Geometric Transformations
Visual Effects
Application Example: Edutainment Game
Application Example: Coin Sorting using a Robot
Bits, Bytes and Binary Numbers
Mathematical Definitions
Learning Parameters in Video and Image Processing Systems
Conversion Between RGB and HSI
Conversion Between RGB and HSV
Conversion Between RGB and YUV/YCbCr
In order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects.
This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data.
Topics and features:
- Includes more than 100 exercises, as well as C-code snippets of the key algorithms
- Equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis
- Covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects
- Requires only a minimal understanding of mathematics
- Presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website
- Provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations
This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.
Using minimal mathematics, this book reviews core concepts and methods of image processing and video processing, focusing on methods for designing and implementing real image data processiong systems. Coverage ranges from image acquisition to visual effects.
Introduction.- Image Acquisition.- Color Images.- Point Processing.- Neighborhood Processing.- Morphology.- BLOB Analysis.- Segmentation in Video Data.- Tracking.- Geometric Transformations.- Visual Effects.- Application Example: Edutainment Game.- Application Example: Coin Sorting using a Robot.- Bits, Bytes and Binary Numbers.- Mathematical Definitions.- Learning Parameters in Video and Image Processing Systems.- Conversion Between RGB and HSI.- Conversion Between RGB and HSV.- Conversion Between RGB and YUV/YCbCr.
Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.
Über den Autor
Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.
Inhaltsverzeichnis
Introduction.- Image Acquisition.- Color Images.- Point Processing.- Neighborhood Processing.- Morphology.- BLOB Analysis.- Segmentation in Video Data.- Tracking.- Geometric Transformations.- Visual Effects.- Application Example: Edutainment Game.- Application Example: Coin Sorting using a Robot.- Bits, Bytes and Binary Numbers.- Mathematical Definitions.- Learning Parameters in Video and Image Processing Systems.- Conversion Between RGB and HSI.- Conversion Between RGB and HSV.- Conversion Between RGB and YUV/YCbCr.
Klappentext
This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
Presents an unique focus on video processing
Focuses on the practical design and implementation of real systems for processing video data
Concise and accessible to a wide audience, without requiring a strong mathematical background
Includes supplementary material: sn.pub/extras
