Image Processing and Pattern Recognition Based on Parallel Shift Technology
1st Edition
Published on 29. January 2018
208 pages
978-1-351-77857-2 (ISBN)
Description
This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these methods and theories, this book is intended to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
52 s/w Abbildungen
20 Tables, black and white; 127 Illustrations, black and white
File size
5,18 MB
ISBN-13
978-1-351-77857-2 (9781351778572)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Stepan Bilan | Sergey Yuzhakov
Image Processing and Pattern Recognition Based on Parallel Shift Technology
Based on Parallel Shift Technology
Book
03/2021
1st Edition
CRC Press
€73.20
Shipment within 15-20 days
Stepan Bilan | Sergey Yuzhakov
Image Processing and Pattern Recognition Based on Parallel Shift Technology
Based on Parallel Shift Technology
Book
02/2018
1st Edition
CRC Press
€274.84
Shipment within 10-20 days
Persons
Dr. Stepan Bilan is employed at the State Economy and Technology University of Transport.
Dr. Sergey Yuzhakov is employed at Gaisin United State Tax Inspection of the Main Governance of SFS in Vinnytsa Region.
Dr. Sergey Yuzhakov is employed at Gaisin United State Tax Inspection of the Main Governance of SFS in Vinnytsa Region.
Content
Introduction. Image description. Characteristic features of the images. Raster and not raster images. The theoretical description of the parallel shift technology. Formation of FAI on the basis of PST. Methods of pretreatment images based PST. Noise deleting and image restoration based of FAI. Methods of processing dynamic images based on PST. Image recognition system on the basis of FAI. Evaluation of image processing and pattern recognition system performance on the basis of FAI. References.
