Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval by Zhang, Dengsheng

Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Paperback) (ISBN-13: 9783030692537)

Vendor: Dengsheng Zhang
Product type: Books
Format: Paperback
$54.99
$54.99
$54.99
Subtotal: $54.99
Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval by Zhang, Dengsheng

Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval

$54.99
Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval by Zhang, Dengsheng

Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval

$54.99
Format: Paperback
Description
Description
x
1. Fourier Transform.- 2. Windowed Fourier Transform.- 3. Wavelet Transform.- 4. Color Feature Extraction.- 5. Texture Feature Extraction.- 6. Shape Representation.- 7. Bayesian Classification.- Support Vector Machines.- 8. Artificial Neural Networks.- 9. Image Annotation with Decision Trees.-10. Image Indexing.- 11. Image Ranking.- 12. Image Presentation.- 13. Appendix.

Author: Dengsheng Zhang
ISBN-10: 3030692531
ISBN-13: 9783030692537
Publisher: Springer
Language: English
Published: 06/27/2022
Pages: 363
Format: Paperback
Weight: 1.23lbs
Size: 9.21h x 6.14w x 0.82d
By Dengsheng Zhang
By Dengsheng Zhang
x

Dr. Dengsheng Zhang is Senior Lecturer in the School of Engineering, Information Technology and Physical Sciences at Federation University Australia and a Guest Professor of Xi'an University of Posts & Telecommunications, China. He is on the list of Top 2% Scientists in the World ranked by Stanford University. Dr Zhang was the Textbook & Academic Authors Association's winner of their 2020 Most Promising New Textbook Award, with the judges noting:

"Fundamentals of Image Data Mining provides excellent coverage of current algorithms and techniques in image analysis. It does this using a progression of essential and novel image processing tools that give students an in-depth understanding of how the tools fit together and how to apply them to problems."

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