Image Processing and Pattern Recognition Based on Parallel Shift Technology - Info and Reading Options
By Stepan Bilan
"Image Processing and Pattern Recognition Based on Parallel Shift Technology" was published by Taylor & Francis Group in 2018 - Milton, it has 194 pages and the language of the book is English.
“Image Processing and Pattern Recognition Based on Parallel Shift Technology” Metadata:
- Title: ➤ Image Processing and Pattern Recognition Based on Parallel Shift Technology
- Author: Stepan Bilan
- Language: English
- Number of Pages: 194
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Milton
“Image Processing and Pattern Recognition Based on Parallel Shift Technology” Subjects and Themes:
- Subjects: ➤ Computer vision - Pattern recognition systems - Parallel processing (electronic computers) - Parallel processing (Electronic computers) - COMPUTERS - General
Edition Identifiers:
- The Open Library ID: OL29402741M - OL21310320W
- ISBN-13: 9781351778565
- All ISBNs: 9781351778565
AI-generated Review of “Image Processing and Pattern Recognition Based on Parallel Shift Technology”:
"Image Processing and Pattern Recognition Based on Parallel Shift Technology" Description:
Open Data:
Cover -- Half Title -- Title -- Copyrights -- Preface -- Contents -- Introduction -- Chapter 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 -- Chapter 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 -- Chapter 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 -- Chapter 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 -- Chapter 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
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