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Image Processing and Pattern Recognition Based on Parallel Shift Technology

Autor Stepan Bilan, Sergey Yuzhakov
en Limba Engleză Hardback – 14 feb 2018
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.
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Specificații

ISBN-13: 9781138712263
ISBN-10: 1138712264
Pagini: 208
Ilustrații: 20 Tables, black and white; 127 Illustrations, black and white
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.43 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Cuprins

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.

Descriere

Designed to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications, this book describes the methods and algorithms for image pre-processing and recognition, based on a parallel shift technology of the imaging copy.

Notă biografică

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.