UID:
almahu_9948130136702882
Umfang:
IX, 137 p. 85 illus., 55 illus. in color.
,
online resource.
ISBN:
9783030121952
Serie:
Studies in Computational Intelligence, 821
Inhalt:
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.
Anmerkung:
Preface -- Chapter 1. Introduction -- Chapter 2. Feature Detection -- Chapter 3. Image Indexing Techniques -- Chapter 4. Novel Methods for Image Description -- Chapter 5. Image Retrieval and Classification in Relational Databases etc.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783030121945
Weitere Ausg.:
Printed edition: ISBN 9783030121969
Weitere Ausg.:
Printed edition: ISBN 9783030121976
Sprache:
Englisch
Fachgebiete:
Informatik
DOI:
10.1007/978-3-030-12195-2
URL:
https://doi.org/10.1007/978-3-030-12195-2
URL:
Volltext
(URL des Erstveröffentlichers)
Bookmarklink
