Books > Computing & IT > Applications of computing > Image processing
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Feature Dimension Reduction for Content-Based Image Identification (Hardcover)
Loot Price: R6,007
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Feature Dimension Reduction for Content-Based Image Identification (Hardcover)
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Image data has portrayed immense potential as a foundation of
information for numerous applications. Recent trends in multimedia
computing have witnessed a rapid growth in digital image
collections, resulting in a need for increased image data
management. Feature Dimension Reduction for Content-Based Image
Identification is a pivotal reference source that explores the
contemporary trends and techniques of content-based image
recognition. Including research covering topics such as feature
extraction, fusion techniques, and image segmentation, this book
explores different theories to facilitate timely identification of
image data and managing, archiving, maintaining, and extracting
information. This book is ideally designed for engineers, IT
specialists, researchers, academicians, and graduate-level students
seeking interdisciplinary research on image processing and
analysis.
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