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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.
Produkteigenschaften
- Artikelnummer: 9783030121945
- Medium: Buch
- ISBN: 978-3-030-12194-5
- Verlag: Springer International Publishing
- Erscheinungstermin: 07.02.2019
- Sprache(n): Englisch
- Auflage: 1. Auflage 2020
- Serie: Studies in Computational Intelligence
- Produktform: Gebunden
- Gewicht: 395 g
- Seiten: 137
- Format (B x H x T): 160 x 241 x 14 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Mustererkennung, Biometrik
- Technische Wissenschaften
- Sonstige Technologien | Angewandte Technik
- Signalverarbeitung, Bildverarbeitung, Scanning