| Description |
1 online resource : text file, PDF |
| Contents |
Machine generated contents note: 1. Feature Extraction Based on Parallel Image Shift Technologies -- 1.1. Fundamentals of Understanding and of Constructing Images -- 1.2. Image Description -- 1.3. Characteristic Features of Images -- 1.4. Theoretical Description of the Parallel Shift Technology -- 2. Function of the Area of Intersection Formation Based on Parallel Shift Technology -- 2.1. Mathematical Model of the Image Describing the Function of the Area of Intersection -- 2.2. Analytical Determination of the Function of the Area of Intersection of Simple Shapes on the Basic Parameters -- 2.3. Additional Parameters, which Accelerate Plane Image Recognition Process -- 2.4. Algorithm of Recognition Images Based on PST -- 2.5. Processing of 3D-Objects through PST -- 3. Methods of Pre-Processing Images Based on PST -- 3.1. Edge Detection Method of Plane Figures -- 3.2. Use of Parallel Shift Technology for Noise Removal in Images -- 3.3. Technical Methods for FAI Preparation -- 3.4. Model for Obtaining FAI of No Bitmap -- 4. Methods of Dynamic Images Processing Based on PST -- 4.1. Determination of Spatial Orientation of Planes -- 4.2. Use of Different Types of Shifts of Image Copies in Video Processing Devices Based on PST -- 4.3. Methods for Determining Movement Parameters Using Cyclic Shifts -- 4.4. Methods for Determination of Motion Parameters Using Non-cyclic Shifts -- 4.5. Methods for Determining Distance of a Moving Object -- 4.6. Comparison of Methods for Determination of Motion Parameters by Using Different Types of Shifts of the Image Copy -- 5. Image Processing System Based on PST -- 5.1. System of Perception of Video Information -- 5.2. Saving Template Functions of the Area of Intersection -- 5.3. Application of Image-processing Methods Based on PST for Prosthetic Visual Organs -- 5.4. Perspective Directions of Image-processing Research Using PST -- 6. Assessment of Productivity of the Image Processing and Recognition Systems Based on FAI Analysis -- 6.1. Evaluating the Efficiency of the Chosen Method of Removing Noise -- 6.2. Determination of the Permissible Error Range of Values Used to Limit the Maximum Displacement Values -- 6.3. Determination of Values Range of Acceptable Error Used in Comparison of Integral Coefficients -- 6.4. Determination of Range Values of Acceptable Error in Comparison of FAI on a Detailed Stage of the Analysis of Image Recognition -- 6.5. Evaluating the Effectiveness of Image Recognition Process in Various Parameters of Input Information Using Calculated Values of Permissible Errors -- 7. Hardware Implementation of the Image Recognition System Based on Parallel Shift Technology -- 7.1. Generalised Model of Image Recognition System Based on Parallel Shift Technology -- 7.2. Selecting a Cover for Representing the Image in the Recognition System -- 7.3. Hardware Implementation of Parallel Shift and Computation of the Area of Intersection of Images -- 7.4. Modelling of the Main Hardware Modules for Determining FAI in Modern CAD Systems -- 7.5. Selection and Storage of Patterns in UMFP -- 7.6. Optical Image Recognition System Based on Parallel Shift Technology -- 8. Methodology of Experimental Studies in Recognition Process Based on Parallel Shift Technology -- 8.1. Selection and Analysis of Characteristic Features of Images Based on Parallel Shift Technology -- 8.2. Analysis of the Accuracy of Image Recognition, Based on the Obtained FAI -- 8.3. Description of Image with the Help of Quantitative Characteristics of the Basic Properties of FAI -- 8.4. Experimental Analysis of FAI of Patterns Image -- 8.5. Sequence of Steps for Using Parallel Shift Technology to Describe and Recognise Images -- 8.6. Advantages of Text Recognition Based on Parallel Shift Technology |
| Summary |
"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."--Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. WlAbNL |
| Subject |
Computer vision.
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Pattern recognition systems.
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Parallel processing (Electronic computers)
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Pattern Recognition, Automated
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COMPUTERS -- General.
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Computer vision
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Parallel processing (Electronic computers)
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Pattern recognition systems
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| Form |
Electronic book
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| Author |
Yuzhakov, Sergey, author
|
| ISBN |
9781315200279 |
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1315200279 |
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9781351778572 |
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1351778579 |
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9781351778558 |
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1351778552 |
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9781351778565 |
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1351778560 |
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