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Image Processing and Pattern Recognition Based on Parallel Shift Technology

Stepan Bilan (State University of Infrastructure and Technology, Ukraine.) Sergey Yuzhakov

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Hardback

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English
CRC Press
14 February 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.

By:   ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   430g
ISBN:   9781138712263
ISBN 10:   1138712264
Pages:   208
Publication Date:  
Audience:   College/higher education ,  General/trade ,  Primary ,  ELT Advanced
Format:   Hardback
Publisher's Status:   Active
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.

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.

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