Image Processing and Pattern Recognition Based on Parallel Shift Technology
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€229.40
A01=Sergey Yuzhakov
A01=Stepan Bilan
advanced pattern recognition systems
artificial intelligence research
Author_Sergey Yuzhakov
Author_Stepan Bilan
Binary Image
Category1=Non-Fiction
Category=NL-UY
Category=UYQP
Category=UYT
Cee
computer vision algorithms
Concave Vertices
Cyclic Shift
Delivery_Delivery within 10-20 working days
dynamic image processing
Edge Detection
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
etalon figures
feature extraction techniques
Fourier Series
Function of the area of intersection
Image area
Image contour
Image Copy
Image Processing Device
Image Recognition
Image Recognition Algorithm
Image Recognition Process
Image Recognition System
Integral coefficient
Integral Coefficients
Language_English
Machine Vision System
mathematical modeling images
Maximum Shift
Noise Control
Noise Elements
Noise Removal
OCT
Parallel Shift
Permissible Errors
Price_€100 to €200
PSNR
Pst
Receptor Field
robotics image analysis
Sergey Yuzhakov
Shift Directions
Product details
- ISBN 9781138712263
- Weight: 540g
- Dimensions: 156 x 234mm
- Publication Date: 14 Feb 2018
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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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.
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.
