Image Processing and Pattern Recognition Based on Parallel Shift Technology Based on Parallel Shift Technology
Auteurs : Bilan Stepan, Yuzhakov Sergey
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.
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.
Date de parution : 03-2021
15.6x23.4 cm
Date de parution : 03-2018
15.6x23.4 cm
Thèmes d’Image Processing and Pattern Recognition Based on... :
Mots-clés :
Image Recognition System; Integral Coefficients; Receptor Field; Image Recognition; Parallel Shift; Pst; Image Recognition Process; Machine Vision System; Noise Control; Shift Directions; PSNR; Concave Vertices; Cyclic Shift; Image Processing Device; Edge Detection; Permissible Errors; Noise Removal; Cee; Noise Elements; Fourier Series; Binary Image; Maximum Shift; Image Recognition Algorithm; OCT; Image Copy