CRC Press., 2018. — 209 p.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.Feature Extraction Based on Parallel Image Shift Technologies Function of the Area of Intersection Formation Based on Parallel Shift Technology Methods of Pre-Processing Images Based on PST Methods of Dynamic Images Processing Based on PST Image Processing System Based on PST Assessment of Productivity of the Image Processing and Recognition Systems Based on FAI Analysis Hardware Implementation of the Image Recognition System Based on Parallel Shift Technology Methodology of Experimental Studies in Recognition Process Based on Parallel Shift Technology
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