Buch

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Übersicht

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Verlag	:	Springer International Publishing
Buchreihe	:	Texts in Computer Science
Sprache	:	Englisch
Erschienen	:	14. 08. 2020
Seiten	:	314
Einband	:	Kartoniert
Höhe	:	235 mm
Breite	:	155 mm
ISBN	:	9783030179915
Sprache	:	Englisch

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Autorinformation

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Dr. Dengsheng Zhang is a Senior Lecturer in the School of Science, Engineering and Information Technology at Federation University Australia.---Textbook & Academic Authors Association 2020 Most Promising New Textbook Award Winner!The judges said:"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."

Inhaltsverzeichnis

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Part I: Preliminaries.- Fourier Transform.- Windowed Fourier Transform.- Wavelet Transform.- Part II: Image Representation and Feature Extraction.- Color Feature Extraction.- Texture Feature Extraction.- Shape Representation.- Part III: Image Classification and Annotation.- Bayesian Classification.- Support Vector Machines.- Artificial Neural Networks.- Image Annotation with Decision Trees.- Part IV: Image Retrieval and Presentation.- Image Indexing.- Image Ranking.- Image Presentation.- Appendix: Deriving the Conditional Probability of a Gaussian Process.

Pressestimmen

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“The book is clearly written and the chapters follow a logical order. Almost all the figures are in color, which adds extra value to the explanation. … the book should be useful to anyone interested in mining image data and would certainly be a valuable addition to their personal library.” (Hector Antonio Villa-Martinez, Computing Reviews, September 21, 2020)

Deine Buchhandlung

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