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.
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.
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.
Inhaltsangabe
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.
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.
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