Practical Contour Compression Methods Using MATLAB - Ali Ukasha
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Présentation Practical Contour Compression Methods Using Matlab de Ali Ukasha Format Broché
- Livre Sciences de la vie et de la terre
Résumé :
This book is an essential guide to the implementation of image processing techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. Fully updated with the latest developments in contour extraction & compression, including expanded tutorials and new techniques, this book contains extensive new material on DCT, Haar & wavelets. The material is timely, highly readable, and illustrated with numerous examples of practical significance. Image and contour compression mainstream areas of image processing in the spatial and frequency domains, are covered. Coverage concludes with a discussion on the fundamentals of object recognition. Chapters supported by figures, examples, illustrative problems, and exercises.
Biographie:
A. Ukasha received his Ph.D. degree from AGH University of Science and Technology, Krakow, Poland, in 2007. He is working as Professor in the Electrical & Electronic Engineering Department at the University of Sebha, Libya.?Dr. Ukasha published more than 45 papers at International Conferences and Journals....
Sommaire:
This book is an essential guide to the implementation of image processing techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. Fully updated with the latest developments in contour extraction & compression, including expanded tutorials and new techniques, this book contains extensive new material on DCT, Haar & wavelets. The material is timely, highly readable, and illustrated with numerous examples of practical significance. Image and contour compression mainstream areas of image processing in the spatial and frequency domains, are covered. Coverage concludes with a discussion on the fundamentals of object recognition. Chapters supported by figures, examples, illustrative problems, and exercises....
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