Computer Vision Methods for Fast Image Classification and Retrieval / Rafał Scherer.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Computer Vision Methods for Fast Image Classification and Retrieval / Rafał Scherer.

9783030121952 (electronic book)
303012195X (electronic book)
9783030121945
9783030121976

Cham : Springer International Publishing : Imprint : Springer, 2020.

English

1 online resource (ix, 137 pages) : illustrations.

10.1007/978-3-030-12195-2 doi

Q342

006.3

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.

Access limited to authorized users.

text file PDF

Studies in computational intelligence ; 821.

Print version: 9783030121945

Online Resources > Ebooks
All Resources