Details
| Title | Advances in computational intelligence and robotics (ACIR) book series. — Examining fractal image processing and analysis |
|---|---|
| Other creators | Nayak Soumya Ranjan ; Mishra Jibitesh |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Computer vision. ; Image processing — Digital techniques. ; Image analysis. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1119467845 |
| Record create date | 9/13/2019 |
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Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well.
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| ILC SPbPU Local Network | All |
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- Title Page
- Copyright Page
- Book Series
- Table of Contents
- Detailed Table of Contents
- Preface
- Chapter 1: An Edge Detection Approach for Fractal Image Processing
- Chapter 2: A Review on Chaos-Based Image Encryption Using Fractal Function
- Chapter 3: Development of Algorithms for Medical Image Compression
- Chapter 4: Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques
- Chapter 5: A Performance Study of Image Quality Attributes on Smoothened Image Obtained by Anisotropic Diffusion-Based Models
- Chapter 6: A Review of Contemporary Image Compression Techniques and Standards
- Chapter 7: Bio-Medical Image Processing
- Chapter 8: Fatigue Monitoring for Drivers in Advanced Driver-Assistance System
- Chapter 9: Automatic Article Detection in a Jumbled Scene Using Point Feature Matching
- Chapter 10: R-HOG Feature-Based Off-Line Odia Handwritten Character Recognition
- Chapter 11: Image Enhancement
- Chapter 12: Analysis of Biomedical Image for Alzheimer's Disease Detection
- Chapter 13: An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images
- Compilation of References
- About the Contributors
- Index
