Image Processing and Pattern Recognition : Fundamentals and Techniques / by F. Y. Shih. [Electronic Resource]
Material type: Computer filePublication details: Piscataway : Wiley, 2010Description: xii, 537pISBN:- 9780470590416
- 006.32Â Sh61I
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 006.32 Sh61I (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Wiley | EB0008 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
006.312 T618R R for Data Science | 006.312 W631R R for Data Science : Import, Tidy, Transform, Visualize and Model Data | 006.32 An86N Neural Network Learning : Theoretical Foundations | 006.32 Sh61I Image Processing and Pattern Recognition : Fundamentals and Techniques | 006.33 G167B Belief Revision | 006.33 M576E Epistemic Logic for AI and Computer Science | 006.35 C612F Formal Semantics and Pragmatics for Natural Language Querying |
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic.
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