The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images.Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
Rafal Scherer
Computer Vision Methods for Fast Image Classification and Retrieval [EPUB ebook]
Computer Vision Methods for Fast Image Classification and Retrieval [EPUB ebook]
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语言 英语 ● 格式 EPUB ● ISBN 9783030121952 ● 出版者 Springer International Publishing ● 发布时间 2019 ● 下载 3 时 ● 货币 EUR ● ID 7013907 ● 复制保护 Adobe DRM
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