Description
Fundamentals of Image, Audio, and Video Processing Using MATLAB®
With Applications to Pattern Recognition
Author: Parekh Ranjan
Language: EnglishSubjects for Fundamentals of Image, Audio, and Video Processing Using...:
Keywords
Playback; Audio system toolbox; Simulink Model; Computer vision toolbox; Midi Message; Video processing; Data Set; Pattern recognition; Fir Filter; MATLAB; Estimate Optical Flow; RGB Space; Optical Flow; RGB Color Space; Midi Device; Tv Transmission; Vice Versa; Interest Points; Petal Length; Video Frames; YCbCr Color Space; SSIM; Naive Bayes Classifier; Hough Transform; Audio Frame; Binary Image; Discriminant Analysis Classifier; Crossover Filter; Harris Corner Detector; Low Pass Fir Filter
Publication date: 10-2022
· 17.8x25.4 cm · Paperback
Publication date: 04-2021
· 17.8x25.4 cm · Hardback
Description
/li>Contents
/li>Biography
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Fundamentals of Image, Audio, and Video Processing Using MATLAB® introduces the concepts and principles of media processing and its applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading, modifying, and writing image, audio, and video files using the data analysis and visualization tool MATLAB®.
Key Features:
- Covers fundamental concepts of image, audio, and video processing
- Demonstrates the use of MATLAB® on solving problems on media processing
- Discusses important features of Image Processing Toolbox, Audio System Toolbox, and Computer Vision Toolbox
- MATLAB® codes are provided as answers to specific problems
- Illustrates the use of Simulink for audio and video processing
- Handles processing techniques in both the Spatio-Temporal domain and Frequency domain
This is a perfect companion for graduate and post-graduate students studying courses on image processing, speech and language processing, signal processing, video object detection and tracking, and related multimedia technologies, with a focus on practical implementations using programming constructs and skill developments. It will also appeal to researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB® courses dealing with media processing, statistical analysis, and data visualization.
Dr. Ranjan Parekh, PhD (Engineering), is Professor at the School of Education Technology, Jadavpur University, Calcutta, India, and is involved with teaching subjects related to Graphics and Multimedia at the post-graduate level. His research interest includes multimedia information processing, pattern recognition, and computer vision.
1 Image Processing.....................................................................................................................1
2 Audio Processing................................................................................................................. 191
3 Video Processing................................................................................................................. 259
4 Pattern Recognition.............................................................................................................303
Dr. Ranjan Parekh, PhD (Engineering), is former Professor at the School of Education Technology, Jadavpur University, Calcutta, India, and is involved with teaching subjects related to Graphics and Multimedia at the post graduate level. His research interests include multimedia information processing, pattern recognition, and computer vision.